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Use when asked to create a persona, build a character, design an AI personality, make an agent persona, define a persona bundle, or give an agent a behavioral guide rather than generate logos, icons, or avatars.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "create a persona, build a character, design an AI personality, make an agent persona, persona bundle, AI identity, persona json, four-layer persona", "role": "specialist", "scope": "design", "output_format": "document", "related_skills": "product-spec-brainstorming, agents-design-visual-identity" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 1488, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "agents-design-persona-creator", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Create agent persona bundles with persistent identity, backstory, behavior, and four-layer configuration (Soul / Body / Faculty / Skill).", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "agents-design-visual-identity", "disable_model_invocation": true, "source_id": "source-1", "path": "agents-design-visual-identity/SKILL.md", "url": null, "plugins": [ "agent-tools" ], "frontmatter": { "name": "agents-design-visual-identity", "disable_model_invocation": true, "description": "Generate square visual identity assets for agents and apps: icons, avatars, and logos optimized for profile, app, and brand use. Use when asked to \"create an icon\", \"make an avatar\", \"generate a logo\", \"design an agent icon\", \"make a profile picture\", or create a visual brand mark rather than define personality, backstory, or behavioral guidance.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "create an icon, make an avatar, generate a logo, design an agent icon, make a profile picture, agent branding, bot avatar, visual brand mark", "role": "specialist", "scope": "creation", "output_format": "content", "related_skills": "agents-design-persona-creator, marketing-brand-strategist" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 711, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "agents-design-visual-identity", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Generate square visual identity assets for agents and apps: icons, avatars, and logos optimized for profile, app, and brand use.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "agents-skill-plugin-builder", "disable_model_invocation": true, "source_id": "source-1", "path": "agents-skill-plugin-builder/SKILL.md", "url": null, "plugins": [ "agent-tools" ], "frontmatter": { "name": "agents-skill-plugin-builder", "disable_model_invocation": true, "description": "Create Cowork/Claude Code knowledge-work plugins from user requirements through a guided design process. Use when asked to \"create a plugin\", \"build a plugin\", \"make a plugin\", \"scaffold a plugin\", \"new plugin\", \"plugin template\", or when packaging skills, commands, and connectors into a distributable plugin for a specific role or workflow. Walks users through requirements gathering, component design, and generates the complete plugin directory structure.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 2070, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "agents-skill-plugin-builder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Create Cowork/Claude Code knowledge-work plugins from user requirements through a guided design process.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "agents-skill-spec-builder", "disable_model_invocation": true, "source_id": "source-1", "path": "agents-skill-spec-builder/SKILL.md", "url": null, "plugins": [ "agent-tools" ], "frontmatter": { "name": "agents-skill-spec-builder", "disable_model_invocation": true, "description": "Create complex, multi-phase workflow skills using specification-driven decomposition with typed steps, explicit state, and verification. Use when the user needs a skill with structured control flow, branching, iteration, parallel execution, or subagent composition — not a simple single-prompt skill. Use when asked for a \"workflow skill\", \"multi-step skill\", \"skill with branching\", \"skill with parallel steps\", \"complex skill\", or when a skill request implies long-horizon orchestration that benefits from explicit state management and typed operations.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "workflow skill, multi-step skill, multi-phase skill, complex skill, structured skill, skill with branching, skill with iteration, skill with parallel steps, skill with control flow, skill with typed steps, skill with verification, skill with state management, composable skill, orchestration skill, long-horizon skill, spec-driven skill, skill with subagents", "role": "architect", "scope": "design", "output_format": "specification", "related_skills": "skill-architect, skill-evaluator, skill-reinterpreter" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 1281, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "agents-skill-spec-builder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Create complex, multi-phase workflow skills using specification-driven decomposition with typed steps, explicit state, and verification.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "ai-prompt-engineer", "disable_model_invocation": false, "source_id": "source-1", "path": "ai-prompt-engineer/SKILL.md", "url": null, "plugins": [ "agent-tools" ], "frontmatter": { "name": "ai-prompt-engineer", "disable_model_invocation": false, "description": "Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "prompt engineering, prompt optimization, chain-of-thought, few-shot learning, prompt testing, LLM prompts, prompt evaluation, system prompts, structured outputs, prompt design", "role": "expert", "scope": "design", "output_format": "document", "related_skills": "test-master" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 4156, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "ai-prompt-engineer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "content-behavioral-nudge-unit", "disable_model_invocation": true, "source_id": "source-1", "path": "content-behavioral-nudge-unit/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-behavioral-nudge-unit", "disable_model_invocation": true, "description": "Act as a Behavioural Insights Team (\"Nudge Unit\") that applies nudge theory and choice architecture to any issue or goal. Use when asked to nudge behavior, design choice architecture, apply behavioural insights, influence decisions, change behavior, reduce friction, improve uptake/adoption/compliance, design defaults, or apply nudge theory. Delivers 3-5 automatic system (System 1) and 3-5 reflective system (System 2) interventions that are cheap, minimal, and preserve freedom of choice.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 549, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "content-behavioral-nudge-unit", "usage_value": { "score": 5, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 4 }, "weighted_score": 4.25, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Act as a Behavioural Insights Team (\"Nudge Unit\") that applies nudge theory and choice architecture to any issue or goal.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "content-copy-caveman", "disable_model_invocation": true, "source_id": "source-1", "path": "content-copy-caveman/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-copy-caveman", "disable_model_invocation": true, "description": "Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra. Use when user says \"caveman mode\", \"talk like caveman\", \"use caveman\", \"less tokens\", \"be brief\", or invokes / content-copy-caveman. Also auto-triggers when token efficiency is requested.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 71, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "content-copy-caveman", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra. Use when user says \"caveman mode\", \"talk like caveman\", \"use caveman\", \"less tokens\", \"be brief\", or invokes / content-copy-caveman. Also auto-triggers when token efficiency is requested.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "content-copy-clear-writing", "disable_model_invocation": false, "source_id": "source-1", "path": "content-copy-clear-writing/SKILL.md", "url": null, "plugins": [ "content", "skills" ], "frontmatter": { "name": "content-copy-clear-writing", "disable_model_invocation": false, "description": "Apply Strunk writing rules to produce clear, concise prose for humans. Use when writing or editing documentation, README files, commit messages, UI copy, error messages, or any human-facing text.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "write documentation, draft README, edit for clarity, make this concise, tighten this up, write UI copy, write error message, omit needless words, apply strunk", "role": "editor", "scope": "creation", "output_format": "content", "related_skills": "content-copy-caveman, content-copy-humanizer" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 756, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "content-copy-clear-writing", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Apply Strunk writing rules to produce clear, concise prose for humans. Use when writing or editing documentation, README files, commit messages, UI copy, error messages, or any human-facing text.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "content-copy-critical-writing", "disable_model_invocation": false, "source_id": "source-1", "path": "content-copy-critical-writing/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-copy-critical-writing", "disable_model_invocation": false, "description": "Write, review, and edit critical explanatory content that turns complex systems, data, research, and technology into grounded, useful prose. Use when drafting essays, articles, explainers, thought leadership, analysis, data-driven storytelling, first-principles writing, practical AI or systems commentary, hidden-history narratives, aha pivots, scale analogies, or when reviewing for narrative fallacy, over-generalization, false analogy, hidden ideology, smug contrarianism, hype, and unsupported certainty.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "critical writing, data-driven essay, first-principles writing, practical explainer, explain complex systems, aha pivot, scale analogy, hidden history, review an argument, edit analytical prose, data storytelling, avoid hype, fact-check narrative, content critique", "role": "writer-editor", "scope": "creation", "output_format": "content", "related_skills": "content-copy-clear-writing, content-copy-humanizer, content-copy-executive-writing" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 646, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Write, review, and edit critical explanatory content that turns complex systems, data, research, and technology into grounded, useful prose. Use when drafting essays, articles, explainers, thought leadership, analysis, data-driven storytelling, first-principles writing, practical AI or systems commentary, hidden-history narratives, aha pivots, scale analogies, or when reviewing for narrative fallacy, over-generalization, false analogy, hidden ideology, smug contrarianism, hype, and unsupported certainty.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "content-copy-email-sequences", "disable_model_invocation": false, "source_id": "source-1", "path": "content-copy-email-sequences/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-copy-email-sequences", "disable_model_invocation": false, "description": "Design and write structured email sequences, drip campaigns, and lifecycle programs. Use when asked for \"email sequence\", \"drip campaign\", \"welcome emails\", \"onboarding emails\", \"nurture sequence\", \"re-engagement emails\", \"email automation\", \"lifecycle emails\", \"win-back emails\", \"billing emails\", or \"email copy\". Covers full sequence design: triggers, timing, subject lines, body copy, CTAs, segmentation, and optimization.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.1.0", "triggers": "email sequence, drip campaign, welcome emails, nurture sequence, onboarding emails, re-engagement emails, email automation, lifecycle emails, win-back emails, billing emails, email copy, email flow, lifecycle campaign, nurture flow, post-purchase emails, event-based emails, educational sequence, new customers series, cancelled customer win-back, product update email, seasonal promotion, pricing update email, new user invite, failed payment, cancellation survey, renewal reminder, NPS email, review request email, referral email, upsell email", "role": "specialist", "scope": "creation", "output_format": "content", "related_skills": "content-copy-humanizer, content-copy-caveman, content-copy-email-template-builder" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": true, "has_license_file": false, "file_count": 13, "estimated_tokens": 2200, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "content-copy-email-sequences", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Design and write structured email sequences, drip campaigns, and lifecycle programs.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "content-copy-email-template-builder", "disable_model_invocation": true, "source_id": "source-1", "path": "content-copy-email-template-builder/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-copy-email-template-builder", "disable_model_invocation": true, "description": "Design and build production-ready HTML email templates that are on-brand, responsive, and importable into email platforms (Resend, Postmark, Mailgun, SendGrid, Mailchimp, Customer.io, Kit, etc.). Use when asked for \"HTML email template\", \"email template code\", \"responsive email\", \"branded email template\", \"import email template\", \"transactional email design\", \"email design system\", \"email component\", \"email layout\", or \"ESP template\". Covers full template design: layout, typography, color system, components, responsive behavior, dark mode, and platform export.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "HTML email template, email template code, responsive email template, branded email template, transactional email design, email design system, email component, ESP template, import email template, email layout, email header footer, email button component, email on-brand, Resend template, Postmark template, Mailgun template, SendGrid template, Mailchimp template, Customer.io template, email HTML, mjml template, email CSS, dark mode email", "role": "specialist", "scope": "creation", "output_format": "code", "related_skills": "content-copy-email-sequences, content-copy-humanizer, content-style-extractor" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": true, "has_license_file": false, "file_count": 9, "estimated_tokens": 1084, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "content-copy-email-template-builder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Design and build production-ready HTML email templates that are on-brand, responsive, and importable into email platforms (Resend, Postmark, Mailgun, SendGrid, Mailchimp, Customer. io, Kit, etc.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "content-copy-executive-writing", "disable_model_invocation": false, "source_id": "source-1", "path": "content-copy-executive-writing/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-copy-executive-writing", "disable_model_invocation": false, "description": "Rewrite communications from technical leaders for senior, non-technical audiences by matching narrative architecture to objective, applying format-specific structure, and preserving the author voice. Use whenever the user is drafting, revising, or wants feedback on executive memos, leadership emails, CIO or CEO communications, board briefings, steering committee updates, status reports, change announcements, presentation decks, talking points, capability briefs, roadmap briefs, post-mortems, escalations, or any communication targeting executive, board, or senior leadership audiences. Trigger on phrases like \"rewrite this for my CIO\", \"help me communicate this to executives\", \"make this executive-ready\", \"translate this for leadership\", \"this needs to go to the board\", \"tighten this up for the C-suite\", \"help me write this message to the team\", \"this update is going to leadership\", or whenever the user shares technical content or a draft that needs to land with a senior audience. Also trigger when the user describes a communication they need to write to executives, even before drafting, so the skill can guide the structure from the start.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "executive communication, CIO message, board briefing, leadership email, status update, change announcement, executive memo, talking points, presentation deck, post-mortem, escalation, roadmap brief, capability brief, executive rewrite, audience translation, AI-generated tone", "role": "communicator", "scope": "rewrite", "output_format": "document", "related_skills": "strategy-change-management, people-comms-engage-internal-community, people-comms-announce-organizational, strategy-exec-presentation-designer" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 1192, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Rewrite communications from technical leaders for senior, non-technical audiences by matching narrative architecture to objective, applying format-specific structure, and preserving the author voice. Use whenever the user is drafting, revising, or wants feedback on executive memos, leadership emails, CIO or CEO communications, board briefings, steering committee updates, status reports, change announcements, presentation decks, talking points, capability briefs, roadmap briefs, post-mortems, escalations, or any communication targeting executive, board, or senior leadership audiences. Trigger on phrases like \"rewrite this for my CIO\", \"help me communicate this to executives\", \"make this executive-ready\", \"translate this for leadership\", \"this needs to go to the board\", \"tighten this up for the C-suite\", \"help me write this message to the team\", \"this update is going to leadership\", or whenever the user shares technical content or a draft that needs to land with a senior audience. Also trigger when the user describes a communication they need to write to executives, even before drafting, so the skill can guide the structure from the start.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "content-copy-humanizer", "disable_model_invocation": false, "source_id": "source-1", "path": "content-copy-humanizer/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-copy-humanizer", "disable_model_invocation": false, "description": "Review and edit copy so it reads like a human wrote it. Catch and fix AI-writing tells, unidiomatic phrasing, consultant-speak, and faux-profound brand or strategy copy. Default is a clean rewrite with changes shown; review-only mode flags issues without editing. Use when asked to humanize text, de-slop writing, review copy for AI patterns, flag unnatural phrasing, or fix unidiomatic English.", "license": "MIT", "compatibility": null, "allowed_tools": {}, "metadata": { "version": "2.0.0", "triggers": "make this sound human, does this sound AI-written, clean up this chatbot output, remove the consultant-speak, edit out the AI voice, rewrite this AI-generated content, check this copy for AI tells, make this read naturally", "role": "editor", "scope": "creation", "output_format": "content", "related_skills": "content-copy-clear-writing, content-copy-caveman, content-style-extractor" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 1417, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "name": "content-copy-humanizer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Remove signs of AI-generated writing from text. Use when asked to humanize text, de-slop writing, make AI text sound human, rewrite AI-generated content, clean up AI writing, or detect AI patterns.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "content-meta-design", "disable_model_invocation": false, "source_id": "source-1", "path": "content-meta-design/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-meta-design", "disable_model_invocation": false, "description": "Extract meta-level design principles, content style, tone, and structural patterns from source content. Use when asked to analyze content style, extract design patterns, reverse-engineer a content format, deconstruct a writing style, capture content DNA, create a style blueprint, extract tone and voice, analyze content structure, or when the user wants to replicate the \"feel\" of content without copying it. Produces a reusable design blueprint that captures what makes content effective — not the content itself.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "extract style, content analysis, design patterns, tone extraction, reverse engineer content, style blueprint, content DNA, deconstruct format, analyze structure, meta design", "role": "analyst", "scope": "analysis", "output_format": "report", "related_skills": "content-copy-humanizer, content-technical-doc-coauthoring, marketing-content-brand-copywriter" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 377, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Extract meta-level design principles, content style, tone, and structural patterns from source content. Use when asked to analyze content style, extract design patterns, reverse-engineer a content format, deconstruct a writing style, capture content DNA, create a style blueprint, extract tone and voice, analyze content structure, or when the user wants to replicate the \"feel\" of content without copying it. Produces a reusable design blueprint that captures what makes content effective — not the content itself.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "content-narrative-story-brief", "disable_model_invocation": false, "source_id": "source-1", "path": "content-narrative-story-brief/SKILL.md", "url": null, "plugins": [ "content", "strategy" ], "frontmatter": { "name": "content-narrative-story-brief", "disable_model_invocation": false, "description": "Develops the outcome, audience alignment, and narrative arc behind a presentation, brief, or memo before any drafting starts, producing a structured story brief rather than slides or draft copy. Use when asked to \"find the story for this deck\", \"shape the narrative before I build it\", \"align this to the audience\", \"flip the story for executives\", or \"nail the story arc first\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "develop the story arc, build a story brief, define the ask and takeaways, structure this for the board, front-load the ask for executives, outline the story before the deck, identify the driver for this change, distinguish the ask from the fyi", "role": "strategist", "scope": "creation", "output_format": "document", "related_skills": "doc-coauthoring" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 321, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "medium", "findings": [ "References credentials/secrets" ], "rationale": "Evaluated from scanner signals." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Develops the outcome, audience alignment, and narrative arc behind a presentation, brief, or memo before any drafting starts, producing a structured story brief rather than slides or draft copy. Use when asked to \"find the story for this deck\", \"shape the narrative before I build it\", \"align this to the audience\", \"flip the story for executives\", or \"nail the story arc first\".", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "content-style-extractor", "disable_model_invocation": false, "source_id": "source-1", "path": "content-style-extractor/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-style-extractor", "disable_model_invocation": false, "description": "Extract meta-level design principles, content style, tone, and structural patterns from source content. Use when asked to analyze content style, extract design patterns, reverse-engineer a content format, deconstruct a writing style, capture content DNA, create a style blueprint, extract tone and voice, analyze content structure, or when the user wants to replicate the \"feel\" of content without copying it. Produces a reusable design blueprint that captures what makes content effective — not the content itself.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "extract style, content analysis, design patterns, tone extraction, reverse engineer content, style blueprint, content DNA, deconstruct format, analyze structure, meta design", "role": "analyst", "scope": "analysis", "output_format": "report", "related_skills": "content-copy-humanizer, content-technical-doc-coauthoring, marketing-content-brand-copywriter" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 377, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "content-style-extractor", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 4 }, "weighted_score": 4.0, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Extract meta-level design principles, content style, tone, and structural patterns from source content.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "content-technical-doc-coauthoring", "disable_model_invocation": true, "source_id": "source-1", "path": "content-technical-doc-coauthoring/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-technical-doc-coauthoring", "disable_model_invocation": true, "description": "Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 620, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "content-technical-doc-coauthoring", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "content-technical-onboarding-docs", "disable_model_invocation": false, "source_id": "source-1", "path": "content-technical-onboarding-docs/SKILL.md", "url": null, "plugins": [ "content" ], "frontmatter": { "name": "content-technical-onboarding-docs", "disable_model_invocation": false, "description": "Create user-friendly project onboarding docs that lead readers functionally first: a functional README, functional quickstart guides, and a separate technical overview. Use when asked to \"write a README\", \"create quickstart guides\", \"document onboarding paths\", \"write a technical overview\", or \"generate getting started docs\" for a repo.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.2.0", "triggers": "generate readme overview, build onboarding docs, write functional readme, design getting started flow, create quickstart guides, write technical overview, refresh project docs, map documentation path, design power user shortcuts, plan proficiency progression", "role": "technical-documentation-architect", "scope": "documentation", "output_format": "document", "related_skills": "content-technical-doc-coauthoring" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 856, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "content-technical-onboarding-docs", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Create user-friendly project onboarding docs that lead readers functionally first: a functional README, functional quickstart guides, and a separate technical overview.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-ai-autoresearch", "disable_model_invocation": false, "source_id": "source-1", "path": "data-ai-autoresearch/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-ai-autoresearch", "disable_model_invocation": false, "description": "Design autonomous AI research systems inspired by Karpathy's autoresearch framework. Use when asked to 'set up autoresearch', 'design an autonomous training loop', 'create an AI research experiment', 'build a self-improving model pipeline', 'autonomous model training', 'autoresearch for my problem', or when the user has a problem/challenge that could benefit from autonomous iterative model training with automated evaluation. Also use when asked to 'design evaluation criteria for model training', 'create a training harness', 'set up experiment tracking for ML', or when someone wants an AI agent to autonomously explore model architectures, hyperparameters, or training strategies to solve a specific problem.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.1.0", "triggers": "autoresearch, autonomous research, autonomous training, self-improving model, iterative model training, experiment loop, automated ML research, model evaluation harness, training pipeline design, autonomous AI experiments, autoresearch framework, research automation, ML experiment design", "role": "expert", "scope": "design", "output_format": "specification", "related_skills": "product-spec-brainstorming, engineering-quality-tdd" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 9, "estimated_tokens": 3538, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "data-ai-autoresearch", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Design autonomous AI research systems inspired by Karpathy's autoresearch framework.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-ai-ml-pipeline", "disable_model_invocation": false, "source_id": "source-1", "path": "data-ai-ml-pipeline/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-ai-ml-pipeline", "disable_model_invocation": false, "description": "Use when designing or implementing end-to-end ML pipeline systems, or when a request spans multiple lifecycle stages such as feature engineering, training orchestration, experiment tracking, validation, and deployment automation. Invoke for reproducible ML platforms, feature stores, training workflows, model registries, and MLOps systems that must fit into a production pipeline rather than a one-off script.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.1.0", "triggers": "ML pipeline, MLflow, Kubeflow, feature engineering, model training, experiment tracking, feature store, hyperparameter tuning, pipeline orchestration, model registry, training workflow, MLOps, model deployment, data pipeline, model versioning", "role": "expert", "scope": "implementation", "output_format": "code", "related_skills": "devops-infra-engineer, data-ai-post-training-expert, data-ai-autoresearch" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 5499, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "data-ai-ml-pipeline", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 4, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when designing or implementing end-to-end ML pipeline systems, or when a request spans multiple lifecycle stages such as feature engineering, training orchestration, experiment tracking, validation, and deployment automation.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-ai-ml-rag-architect", "disable_model_invocation": false, "source_id": "source-1", "path": "data-ai-ml-rag-architect/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-ai-ml-rag-architect", "disable_model_invocation": false, "description": "Design, evaluate, and optimize RAG systems including vector databases, chunking pipelines, retrieval strategies, and semantic search. Use when building or debugging knowledge-grounded AI applications, selecting embedding models, comparing vector stores, or improving retrieval quality.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.1.0", "triggers": "RAG, retrieval-augmented generation, vector search, embeddings, semantic search, vector database, document retrieval, knowledge base, context retrieval, similarity search", "role": "architect", "scope": "system-design", "output_format": "architecture", "related_skills": "python-pro, database-optimizer, monitoring-expert, api-designer" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 4852, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "data-ai-ml-rag-architect", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Design, evaluate, and optimize RAG systems including vector databases, chunking pipelines, retrieval strategies, and semantic search.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-ai-post-training-expert", "disable_model_invocation": false, "source_id": "source-1", "path": "data-ai-post-training-expert/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-ai-post-training-expert", "disable_model_invocation": false, "description": "Use when designing or implementing LLM post-training workflows, including supervised fine-tuning, parameter-efficient adaptation, preference optimization, reward modeling, RLHF, distillation, or deployment packaging. Invoke for SFT, LoRA/QLoRA/PEFT, DPO/ORPO/PPO/GRPO, preference dataset preparation, adapter merging, model compression, and serving tradeoffs.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.0.0", "triggers": "post-training, fine-tuning, fine tuning, finetuning, supervised fine-tuning, SFT, LoRA, QLoRA, PEFT, adapter tuning, DPO, ORPO, PPO, GRPO, RLHF, reward model, preference optimization, distillation, model merging, quantization", "role": "expert", "scope": "implementation", "output_format": "code", "related_skills": "devops-infra-engineer, data-ai-ml-pipeline, data-ai-autoresearch" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 8, "estimated_tokens": 3807, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "data-ai-post-training-expert", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 4, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when designing or implementing LLM post-training workflows, including supervised fine-tuning, parameter-efficient adaptation, preference optimization, reward modeling, RLHF, distillation, or deployment packaging.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-ai-product-specialist", "disable_model_invocation": false, "source_id": "source-1", "path": "data-ai-product-specialist/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-ai-product-specialist", "disable_model_invocation": false, "description": "Build production-ready AI product features with robust LLM integration, retrieval quality, safety controls, AI UX trust patterns, and cost-aware operations. Use when designing, implementing, or reviewing AI-powered product capabilities.", "license": "Apache-2.0", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "ai product, llm integration, rag architecture, prompt engineering, ai ux, hallucination mitigation, model cost optimization, ai guardrails, ai evals", "role": "specialist", "scope": "implementation", "output_format": "specification", "related_skills": "data-ai-ml-rag-architect, data-ai-autoresearch, data-ai-post-training-expert" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 183, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "data-ai-product-specialist", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Build production-ready AI product features with robust LLM integration, retrieval quality, safety controls, AI UX trust patterns, and cost-aware operations.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "Apache-2.0" } }, { "name": "data-analysis-business-context", "disable_model_invocation": false, "source_id": "source-1", "path": "data-analysis-business-context/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-analysis-business-context", "disable_model_invocation": false, "description": "Assemble the framing an analysis needs before the numbers — what a metric officially means, who owns it, what changed, and which source wins when they conflict. Use when asked \"what does this metric mean\", \"who owns this number\", \"which dashboard is the source of truth\", or \"get me up to speed before I analyze this\". Not for profiling a dataset or running the analysis.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.0.0", "triggers": "trace metric ownership, reconcile conflicting definitions, check what shipped recently, locate metric definition doc, brief me before this analysis, verify rollout state, establish analysis assumptions, find who decided this", "role": "context-analyst", "scope": "retrieval", "output_format": "context-brief", "related_skills": "data-analysis-dataset-profiler, data-analysis-business-performance, data-analysis-kpi-designer, data-analysis-validator" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 687, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Build a source-backed business context note that locks metric meaning, decision scope, current state, and evidence gaps before analysis begins. Use when asked to \"frame this analysis\", \"find the metric definition\", \"check what changed\", or \"identify the source of truth\". Not for diagnosis, modeling, dashboards, or recommendations.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-analysis-business-performance", "disable_model_invocation": false, "source_id": "source-1", "path": "data-analysis-business-performance/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-analysis-business-performance", "disable_model_invocation": false, "description": "Analyzes business performance across financial, operational, and strategic dimensions using MBA-level frameworks. Use when asked to analyze P&L statements, evaluate business performance, assess operational efficiency, build financial models, forecast revenue, diagnose profitability issues, review KPIs and metrics, perform variance analysis, create business cases, evaluate strategic options, assess unit economics, model scenarios, benchmark performance, or produce data-driven strategic recommendations — even if the user simply asks to \"look at the numbers\" or \"figure out what''s going wrong with the business.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "business performance, P&L analysis, financial analysis, revenue forecast, profitability, KPI review, variance analysis, business case, unit economics, operational efficiency, strategic analysis, financial modeling, business metrics, margin analysis, cost structure, growth analysis, business statistics, managerial accounting, business modeling", "role": "analyst", "scope": "analysis", "output_format": "report", "related_skills": "research-market-analyst, strategy-frameworks-mckinsey-brief, marketing-intel-customer-segmentation, strategy-planning-pricing" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 1136, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "data-analysis-business-performance", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Analyzes business performance across financial, operational, and strategic dimensions using MBA-level frameworks.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-analysis-dataset-profiler", "disable_model_invocation": false, "source_id": "source-1", "path": "data-analysis-dataset-profiler/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-analysis-dataset-profiler", "disable_model_invocation": false, "description": "Profile an unfamiliar table or file into a structured read on its grain, column types, quality defects, and analysis-ready dimensions and metrics. Use when asked to \"explore this dataset\", \"profile this table\", \"what's in this CSV\", \"check the data quality\", \"how many nulls are there\", or \"what should I analyze here\". Not for auditing a finished analysis or building a pipeline.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "inspect unfamiliar table, determine table grain, measure null rates, summarize column distributions, detect duplicate keys, spot placeholder values, rank slice-worthy dimensions, find join key candidates, document dataset schema", "role": "data-profiler", "scope": "discovery", "output_format": "profile-report", "related_skills": "data-analysis-validator, data-eng-pandas-specialist, data-analysis-business-context" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 3, "estimated_tokens": 795, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Profile an unfamiliar table or file into a structured read on its grain, column types, quality defects, and analysis-ready dimensions and metrics. Use when asked to \"explore this dataset\", \"profile this table\", \"what's in this CSV\", \"check the data quality\", \"how many nulls are there\", or \"what should I analyze here\". Not for auditing a finished analysis or building a pipeline.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-analysis-hypothesis-generation", "disable_model_invocation": false, "source_id": "source-1", "path": "data-analysis-hypothesis-generation/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-analysis-hypothesis-generation", "disable_model_invocation": false, "description": "Generate competing, testable scientific hypotheses from an observation — propose distinct mechanisms, ground them in the literature, evaluate them against quality criteria (testability, falsifiability, parsimony), design experiments to distinguish them, and state falsifiable predictions. Use when you have observations or data and need \"testable hypotheses\", \"competing explanations\", \"a mechanistic hypothesis\", or \"what experiment would test this\". For product/UX outcome hypotheses see the lean-ux skill; for fitting statistical models see the statistical-modeling skill.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "formulate testable hypotheses, propose competing mechanisms, what experiment would test this, design an experiment to distinguish hypotheses, evaluate hypothesis falsifiability, mechanistic explanation for this observation", "role": "scientist", "scope": "hypothesis", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": true, "has_license_file": false, "file_count": 7, "estimated_tokens": 445, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Generate competing, testable scientific hypotheses from an observation — propose distinct mechanisms, ground them in the literature, evaluate them against quality criteria (testability, falsifiability, parsimony), design experiments to distinguish them, and state falsifiable predictions. Use when you have observations or data and need \"testable hypotheses\", \"competing explanations\", \"a mechanistic hypothesis\", or \"what experiment would test this\". For product/UX outcome hypotheses see the lean-ux skill; for fitting statistical models see the statistical-modeling skill.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-analysis-kpi-designer", "disable_model_invocation": false, "source_id": "source-1", "path": "data-analysis-kpi-designer/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-analysis-kpi-designer", "disable_model_invocation": false, "description": "Turn a business decision into a governed KPI portfolio and implementation-ready metric contracts. Use when asked to \"define success measures\", \"choose operational metrics\", \"write metric specs\", or \"set KPI thresholds\". Not for OKR cascades, dashboard analysis, or metric reconciliation.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "design decision metrics, specify metric formulas, choose outcome indicators, create measurement plan, define alert thresholds, assign metric ownership, select decision guardrails, operationalize success criteria", "role": "measurement-architect", "scope": "design", "output_format": "specification", "related_skills": "data-analysis-business-context, data-analysis-business-performance, product-strategy-okr-specialist" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 310, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Turn a business decision into a governed KPI portfolio and implementation-ready metric contracts. Use when asked to \"define success measures\", \"choose operational metrics\", \"write metric specs\", or \"set KPI thresholds\". Not for OKR cascades, dashboard analysis, or metric reconciliation.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-analysis-kpi-reporting", "disable_model_invocation": false, "source_id": "source-1", "path": "data-analysis-kpi-reporting/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-analysis-kpi-reporting", "disable_model_invocation": false, "description": "Convert established metrics into a comparable, evidence-backed operating readout with status, pacing, drivers, and decisions. Use when asked to \"prepare a KPI update\", \"write a WBR\", \"build an MBR scorecard\", or \"summarize performance for leaders\". Not for choosing KPIs or open-ended diagnosis.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "report weekly results, assemble executive scorecard, compare actuals to budget, explain scorecard movement, prepare quarterly readout, update operating review, assess target pacing, package performance narrative", "role": "performance-reporter", "scope": "reporting", "output_format": "report", "related_skills": "data-analysis-kpi-designer, data-analysis-business-context, data-analysis-business-performance" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 501, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Convert established metrics into a comparable, evidence-backed operating readout with status, pacing, drivers, and decisions. Use when asked to \"prepare a KPI update\", \"write a WBR\", \"build an MBR scorecard\", or \"summarize performance for leaders\". Not for choosing KPIs or open-ended diagnosis.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-analysis-statistical-methods", "disable_model_invocation": false, "source_id": "source-1", "path": "data-analysis-statistical-methods/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-analysis-statistical-methods", "disable_model_invocation": false, "description": "Apply and interpret working statistical methods on business data — descriptive statistics, trend and seasonality analysis, outlier and anomaly detection, hypothesis testing — and state what the numbers do and do not support. Use when asked to \"describe this distribution\", \"is this difference significant\", \"read this A/B test\", \"find anomalies in this metric\", \"what's the trend\", \"compute the correlation\", or \"can we say X caused Y\". Not for fitting regression models with coefficient tables (use statistical-modeling), auditing someone else's finished analysis (use analysis-validator), or choosing chart form (use chart-designer).", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "describe this distribution, mean vs median, report percentiles, is this difference statistically significant, read an A/B test result, which test should I use, detect outliers, flag anomalies in a time series, week over week change, year over year comparison, compute CAGR, is this seasonal, simple forecast with a range, correlation between two metrics, did this change cause the lift, adjust for multiple comparisons, do we have enough sample", "role": "analyst", "scope": "analysis", "output_format": "analysis", "related_skills": "data-analysis-statistical-modeling, data-analysis-validator, data-visual-chart-designer, data-eng-pandas-specialist, data-analysis-kpi-reporting" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 907, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Apply and interpret working statistical methods on business data — descriptive statistics, trend and seasonality analysis, outlier and anomaly detection, hypothesis testing — and state what the numbers do and do not support. Use when asked to \"describe this distribution\", \"is this difference significant\", \"read this A/B test\", \"find anomalies in this metric\", \"what's the trend\", \"compute the correlation\", or \"can we say X caused Y\". Not for fitting regression models with coefficient tables (use statistical-modeling), auditing someone else's finished analysis (use analysis-validator), or choosing chart form (use chart-designer).", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-analysis-statistical-modeling", "disable_model_invocation": false, "source_id": "source-1", "path": "data-analysis-statistical-modeling/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-analysis-statistical-modeling", "disable_model_invocation": false, "description": "Fit, diagnose, and interpret classical statistical models in Python with statsmodels — OLS/GLM/logit/Poisson/ARIMA — for rigorous inference with coefficient tables, standard errors, and residual diagnostics. Use when you need \"a regression with p-values\", \"logistic regression odds ratios\", \"time series forecast with confidence intervals\", \"check heteroskedasticity\", or \"which model fits this outcome type\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "fit a regression in statsmodels, logistic regression odds ratios, poisson count model, arima forecast, test residual assumptions, robust standard errors, pick a model for this outcome, interpret coefficient table", "role": "statistician", "scope": "inference", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 950, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Fit, diagnose, and interpret classical statistical models in Python with statsmodels — OLS/GLM/logit/Poisson/ARIMA — for rigorous inference with coefficient tables, standard errors, and residual diagnostics. Use when you need \"a regression with p-values\", \"logistic regression odds ratios\", \"time series forecast with confidence intervals\", \"check heteroskedasticity\", or \"which model fits this outcome type\".", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-analysis-validator", "disable_model_invocation": false, "source_id": "source-1", "path": "data-analysis-validator/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-analysis-validator", "disable_model_invocation": false, "description": "Audit an existing analysis for decision readiness, tracing its claims through methods, calculations, visuals, and evidence. Use when asked to \"review this analysis\", \"check these numbers\", \"QA this dashboard\", \"verify this conclusion\", or \"is this ready to share\". Not for profiling a raw dataset or fitting a new model.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "audit stakeholder report, challenge methodology choices, recompute headline metric, inspect chart integrity, substantiate report claims, approve sharing readiness, find calculation errors, rate evidence confidence", "role": "analysis-reviewer", "scope": "quality-assurance", "output_format": "validation-report", "related_skills": "data-analysis-business-context, data-analysis-statistical-modeling, data-eng-pipeline-architect" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 535, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Audit an existing analysis for decision readiness, tracing its claims through methods, calculations, visuals, and evidence. Use when asked to \"review this analysis\", \"check these numbers\", \"QA this dashboard\", \"verify this conclusion\", or \"is this ready to share\". Not for profiling a raw dataset or fitting a new model.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-eng-database-architect", "disable_model_invocation": false, "source_id": "source-1", "path": "data-eng-database-architect/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-eng-database-architect", "disable_model_invocation": false, "description": "Expert database architect. Design scalable, performant data layers from scratch. Use when selecting DB tech, modeling schemas, designing indexes, planning migrations, or architecting multi-region/cloud databases. Invoke for greenfield architecture, re-architecture, partitioning, caching layers, HA/DR design, and compliance-aware storage patterns.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "database architecture, schema design, DB tech selection, data modeling, index strategy, migration planning, database performance, sharding, partitioning, replication, caching layer, HA design, disaster recovery, database security, cloud database, polyglot persistence", "role": "architect", "scope": "design", "output_format": "architecture", "related_skills": "data-ai-ml-pipeline, data-ai-ml-rag-architect, design-system-architect" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 256, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "data-eng-database-architect", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Expert database architect. Design scalable, performant data layers from scratch.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-eng-pandas-specialist", "disable_model_invocation": false, "source_id": "source-1", "path": "data-eng-pandas-specialist/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-eng-pandas-specialist", "disable_model_invocation": false, "description": "Expert pandas engineer for DataFrames, data wrangling, and production-grade transformation pipelines. Use when loading or cleaning tabular data, handling missing values, groupby aggregations, merge/join/concat operations, pivot tables, time series, or pandas performance optimization. Invoke for vectorization, memory optimization, dtype downcasting, chunking large datasets, or any pandas 2.0+ pattern.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "pandas, DataFrame, data wrangling, data manipulation, data cleaning, missing values, fillna, dropna, groupby, aggregation, merge, join, concat, time series, pivot table, vectorization, memory optimization, chunking, dtype optimization, method chaining, SettingWithCopyWarning, categorical dtype, downcast", "role": "expert", "scope": "implementation", "output_format": "code", "related_skills": "python-pro, data-ai-ml-pipeline" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 1426, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "data-eng-pandas-specialist", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Expert pandas engineer for DataFrames, data wrangling, and production-grade transformation pipelines.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "data-eng-pipeline-architect", "disable_model_invocation": false, "source_id": "source-1", "path": "data-eng-pipeline-architect/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-eng-pipeline-architect", "disable_model_invocation": false, "description": "Expert data engineer skill for designing and building production-grade data pipelines, ETL/ELT systems, data models, and DataOps workflows. Use when designing data architecture, building batch or streaming pipelines, implementing data quality checks, modeling warehouse schemas, or applying DataOps practices with dbt, Airflow, Spark, Kafka, Snowflake, BigQuery, or Databricks.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "design data pipeline, build ETL, build ELT, data modeling, star schema, data vault, dbt model, Airflow DAG, Spark job, Kafka consumer, data quality check, dataops, CDC pipeline, streaming architecture, warehouse design, medallion architecture, bronze silver gold, SCD type 2, data contract, pipeline orchestration, lakehouse, partitioning strategy, incremental load, backfill, idempotent pipeline", "role": "data-engineer", "scope": "design, implementation, review", "output_format": "code, architecture, specification", "related_skills": "data-ai-ml-pipeline, design-system-architect" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 1973, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "name": "data-eng-pipeline-architect", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Expert data engineer skill for designing and building production-grade data pipelines, ETL/ELT systems, data models, and DataOps workflows. Use when designing data architecture, building batch or streaming pipelines, implementing data quality checks, modeling warehouse schemas, or applying DataOps practices with dbt, Airflow, Spark, Kafka, Snowflake, BigQuery, or Databricks.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "Python 3+" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "data-visual-chart-designer", "disable_model_invocation": false, "source_id": "source-1", "path": "data-visual-chart-designer/SKILL.md", "url": null, "plugins": [ "data" ], "frontmatter": { "name": "data-visual-chart-designer", "disable_model_invocation": false, "description": "Pick the right quantitative chart form, then build and QA it against an explicit chart contract before delivery. Use when asked to \"make a chart\", \"visualize this data\", \"which chart should I use\", \"fix this graph\", or \"why does this chart look wrong\". Covers encoding, data sufficiency, palette policy, and final-container QA. Not for image art direction or choosing which KPIs to track.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "plot these numbers, redesign a confusing graph, choose axis and encoding, pick chart colors, turn a table into a visual, review a dashboard chart, add a comparison baseline, export a figure for a report", "role": "visualization-designer", "scope": "design", "output_format": "specification", "related_skills": "data-analysis-kpi-reporting, data-analysis-validator, data-analysis-business-performance, strategy-exec-presentation-designer" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 3, "estimated_tokens": 565, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Pick the right quantitative chart form, then build and QA it against an explicit chart contract before delivery. Use when asked to \"make a chart\", \"visualize this data\", \"which chart should I use\", \"fix this graph\", or \"why does this chart look wrong\". Covers encoding, data sufficiency, palette policy, and final-container QA. Not for image art direction or choosing which KPIs to track.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-application-sitemap", "disable_model_invocation": false, "source_id": "source-1", "path": "design-application-sitemap/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-application-sitemap", "disable_model_invocation": false, "description": "Design comprehensive, user-centered application sitemaps for web and mobile products using modern UI/UX principles. Use when asked to create a sitemap, map application structure, plan page hierarchy, design navigation architecture, organize application screens, define information architecture, plan app routes, structure an application, map user flows to pages, or audit an existing sitemap. Also trigger when the user wants to reorganize an existing app''s navigation, plan a new feature''s page structure, or translate product requirements into a navigable screen hierarchy. This skill produces structured sitemaps, not visual wireframes or coded interfaces.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "sitemap, application sitemap, page hierarchy, navigation architecture, information architecture, screen map, app structure, route planning, page organization, IA design, nav structure, site map, screen inventory, page tree", "role": "ia-architect", "scope": "design", "output_format": "document", "related_skills": "design-application-ux, frontend-design" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 1374, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "design-application-sitemap", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Design comprehensive, user-centered application sitemaps for web and mobile products using modern UI/UX principles.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-application-ux", "disable_model_invocation": false, "source_id": "source-1", "path": "design-application-ux/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-application-ux", "disable_model_invocation": false, "description": "Design and build complete, multi-screen functional application interfaces as production-grade code — portals, dashboards, admin panels, SaaS products, internal tools, mobile apps. Use when asked to \"build an app\", \"design an application\", \"redesign a portal\", \"build a dashboard UI\", \"design admin panel screens\", or \"implement a working product UI end-to-end\". For full application builds that need real code across multiple screens and flows — not for single-component styling (use design-ui-system-advisor), sitemaps only (use design-application-sitemap), design tokens (use design-system-architect), or research artifacts (use design-research-ux-artifacts).", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.3.0", "triggers": "build an application, design a full app UI, redesign a portal, build admin panel screens, implement dashboard UI, design SaaS product interface, end-to-end app UI in code, build internal tool UI, ship multi-screen product interface", "role": "ux-designer", "scope": "implementation", "output_format": "code", "related_skills": "design-application-sitemap, design-system-architect, design-ui-system-advisor, design-research-ux-artifacts, design-research-ux-researcher" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 3169, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "design-application-ux", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Design and build complete, multi-screen functional application interfaces as production-grade code — portals, dashboards, admin panels, SaaS products, internal tools, mobile apps.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-product-overview-builder", "disable_model_invocation": true, "source_id": "source-1", "path": "design-product-overview-builder/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-product-overview-builder", "disable_model_invocation": true, "description": "Build high-conversion product overview pages, feature tours, and platform showcases from a live URL or project repository. Use when asked to create a product page, feature page, product overview, product tour, feature showcase, platform walkthrough, landing page with screenshots, product marketing page, or feature tour page. Captures real screenshots via Playwright browser automation and generates supplementary visuals (architecture diagrams, process flows, comparison graphics) via Google AI Studio Gemini image generation. Assembles everything into production-grade HTML with scroll-triggered animations, tabbed feature tours, interactive walkthroughs, and conversion-optimized layouts inspired by Stripe, Linear, Notion, Vercel, and other top SaaS product pages. Also use when a user wants to showcase key features to sell or market a product, create a \"how it works\" page, or build an \"explore the platform\" section.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "3.0.0", "triggers": "product overview, product tour, feature page, feature showcase, platform walkthrough, product marketing page, feature tour, explore the platform, product showcase, how it works page, feature highlights, product demo page, SaaS landing page, conversion page, architecture diagram, process flow, product screenshots", "role": "expert", "scope": "creation", "output_format": "content", "related_skills": "design-product-overview-recorder, marketing-content-brand-copywriter, marketing-seo-cro, design-application-ux, marketing-content-product-hunt-launch, content-style-extractor" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 9, "estimated_tokens": 3923, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "name": "design-product-overview-builder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets", "Uses install commands" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 3, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Build high-conversion product overview pages, feature tours, and platform showcases from a live URL or project repository.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "Package installation", "Python 3+" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "design-product-overview-recorder", "disable_model_invocation": true, "source_id": "source-1", "path": "design-product-overview-recorder/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-product-overview-recorder", "disable_model_invocation": true, "description": "Record polished UI demo videos with Playwright browser automation. Use when asked to create a demo video, screen recording, product walkthrough, feature tutorial, or UI demo. Produces WebM videos with visible cursor overlay, natural pacing, subtitle narration, and storytelling flow. Use for documentation, onboarding, stakeholder presentations, or product showcases.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "demo video, screen recording, ui walkthrough, product demo, feature tutorial, record demo, video recording, app walkthrough, ui demo, product walkthrough, onboarding video, record screen", "role": "specialist", "scope": "creation", "output_format": "content", "related_skills": "design-product-overview-builder" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 739, "complexity_class": "compact", "skill_pattern": "B" }, "evaluation": { "name": "design-product-overview-recorder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Record polished UI demo videos with Playwright browser automation. Use when asked to create a demo video, screen recording, product walkthrough, feature tutorial, or UI demo.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-research-lean-ux", "disable_model_invocation": false, "source_id": "source-1", "path": "design-research-lean-ux/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-research-lean-ux", "disable_model_invocation": false, "description": "Run design as hypothesis-driven experiments — declare assumptions, turn the riskiest into testable hypotheses, run the smallest experiment that settles them, and measure outcomes over outputs — instead of heavy specs and handoffs. Use for \"Lean UX\", \"what's the smallest experiment\", \"outcome over output\", \"dual-track discovery\", \"design studio session\", or deciding what to build before building it. For facilitating the research sessions themselves, defer to the UX researcher skill.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "declare and prioritize assumptions, write a design hypothesis, pick the smallest experiment, measure outcomes not outputs, run a design studio, set up dual-track discovery, avoid building the wrong feature", "role": "lean-ux-practitioner", "scope": "process", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 585, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Run design as hypothesis-driven experiments — declare assumptions, turn the riskiest into testable hypotheses, run the smallest experiment that settles them, and measure outcomes over outputs — instead of heavy specs and handoffs. Use for \"Lean UX\", \"what's the smallest experiment\", \"outcome over output\", \"dual-track discovery\", \"design studio session\", or deciding what to build before building it. For facilitating the research sessions themselves, defer to the UX researcher skill.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-research-ux-artifacts", "disable_model_invocation": false, "source_id": "source-1", "path": "design-research-ux-artifacts/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-research-ux-artifacts", "disable_model_invocation": false, "description": "Create one or more research-backed UX artifacts for a product or feature. Use when asked to define personas, map journey maps, structure information architecture, design navigation or user flows, write UX/UI specs, or describe screen layouts, field rules, and interaction behaviors.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 786, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "design-research-ux-artifacts", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Create one or more research-backed UX artifacts for a product or feature.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-research-ux-researcher", "disable_model_invocation": false, "source_id": "source-1", "path": "design-research-ux-researcher/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-research-ux-researcher", "disable_model_invocation": false, "description": "Senior UX researcher and designer. Use when conducting user research, creating data-driven personas, mapping customer journeys, planning usability tests, synthesizing research findings, or validating design decisions with evidence. Invoke for discovery research, generative studies, evaluative testing, insight synthesis, and design recommendations backed by user data.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "user research, persona creation, journey mapping, usability testing, research synthesis, design validation, UX research, user interviews, research insights, usability study, jobs to be done, research plan, affinity mapping, design recommendations", "role": "researcher", "scope": "design", "output_format": "document", "related_skills": "design-research-ux-artifacts, design-application-ux, design-application-sitemap" } }, "structure": { "has_scripts": true, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 912, "complexity_class": "detailed", "skill_pattern": "B" }, "evaluation": { "name": "design-research-ux-researcher", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Senior UX researcher and designer.", "external_requirements_indicator": "self-contained", "external_requirements": [ "Python 3+" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "design-scroll-storytelling", "disable_model_invocation": false, "source_id": "source-1", "path": "design-scroll-storytelling/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-scroll-storytelling", "disable_model_invocation": false, "description": "Builds scroll-driven web experiences — parallax storytelling, cinematic animations, sticky sections, interactive narratives. Use when: scroll animation, scroll storytelling, parallax design, cinematic website, interactive narrative, Apple-style product scroll, NY Times-style interactives, GSAP ScrollTrigger, Framer Motion scroll, CSS scroll-timeline, scroll snapping, scroll-driven animation.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "scroll animation, scroll storytelling, parallax, cinematic website, interactive narrative, scroll experience, GSAP scroll, Framer Motion scroll, sticky section, horizontal scroll, scroll snapping, scroll trigger, scroll-driven, scroll-based animation", "role": "specialist", "scope": "implementation", "output_format": "code", "related_skills": "design-application-ux" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 546, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "design-scroll-storytelling", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Builds scroll-driven web experiences — parallax storytelling, cinematic animations, sticky sections, interactive narratives.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-system-architect", "disable_model_invocation": false, "source_id": "source-1", "path": "design-system-architect/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-system-architect", "disable_model_invocation": false, "description": "Create or audit a reusable product design system for an application interface. Use when asked to define design tokens, colors, typography, spacing, radius, shadows, component consistency rules, styling review criteria, or to audit UI consistency, review styling pull requests, detect generic AI-generated UI patterns, or package a visual system into reusable artifacts.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 248, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "design-system-architect", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Create or audit a reusable product design system for an application interface.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-ui-microinteractions", "disable_model_invocation": false, "source_id": "source-1", "path": "design-ui-microinteractions/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-ui-microinteractions", "disable_model_invocation": false, "description": "Design a single self-contained interaction end-to-end using Dan Saffer's four-part structure — trigger, rules, feedback, loops & modes. Use for one contained moment: \"design a toggle\", \"get the button/loading feedback right\", \"pull-to-refresh behavior\", \"what should happen when they tap this\", \"error and empty state behavior\". For overall visual polish defer to the visual-refactor skill; for affordance and discoverability defer to the usability-principles skill.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "design a toggle switch, get button press feedback right, loading and progress states, pull to refresh behavior, what happens when they tap this, error and empty state behavior, add a signature delight moment", "role": "interaction-designer", "scope": "single-interaction", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 648, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "medium", "findings": [ "References credentials/secrets" ], "rationale": "Evaluated from scanner signals." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Design a single self-contained interaction end-to-end using Dan Saffer's four-part structure — trigger, rules, feedback, loops & modes. Use for one contained moment: \"design a toggle\", \"get the button/loading feedback right\", \"pull-to-refresh behavior\", \"what should happen when they tap this\", \"error and empty state behavior\". For overall visual polish defer to the visual-refactor skill; for affordance and discoverability defer to the usability-principles skill.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-ui-system-advisor", "disable_model_invocation": false, "source_id": "source-1", "path": "design-ui-system-advisor/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-ui-system-advisor", "disable_model_invocation": false, "description": "UI/UX design intelligence for web and mobile. Use when building, designing, reviewing, or implementing: website, landing page, dashboard, SaaS app, e-commerce, admin panel, form, survey, wizard, portfolio, mobile app. Triggers: design system, color palette, typography, UI style, accessibility, UX review, chart type, form design, picking form controls, radio vs dropdown, autocomplete, slider, rating, transfer list, date picker, stack guidelines, choose fonts, implement layout, build component, review UI code. Knowledge base: 50+ styles, 97 palettes, 57 font pairings, 99 UX rules, 40 form-control patterns, 25 chart types, 9 stacks (React, Next.js, Vue, Nuxt, Svelte, SwiftUI, React Native, Flutter, html-tailwind).", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.1.0", "triggers": "design system, ui design, ux review, color palette, typography, landing page, accessibility check, chart recommendation, form design, form controls, radio vs checkbox, radio vs dropdown, autocomplete, combobox, slider, rating, likert, nps, transfer list, date picker, tag input, toggle switch, build ui, create component, review design, implement layout, choose style, font pairing, stack guidelines, design website, build dashboard, create landing page, saas design, mobile ui, dark mode, glassmorphism, brutalism, minimalism", "role": "ui-system-advisor", "scope": "implementation", "output_format": "code", "related_skills": "design-application-ux, design-research-ux-artifacts" } }, "structure": { "has_scripts": true, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 28, "estimated_tokens": 1475, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "name": "design-ui-system-advisor", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets", "Uses install commands" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 3, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "UI/UX design intelligence for web and mobile.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "Package installation", "Python 3+" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "design-ui-usability-principles", "disable_model_invocation": false, "source_id": "source-1", "path": "design-ui-usability-principles/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-ui-usability-principles", "disable_model_invocation": false, "description": "Diagnose why a product is confusing or error-prone with Don Norman's foundational usability principles — affordances, signifiers, mappings, constraints, feedback, conceptual models, the two gulfs, and human error. Use when the user asks \"why is this confusing\", \"users keep getting this wrong\", \"is this discoverable\", \"what's the mental model here\", or \"how do I prevent this error\". A diagnostic lens, not visual styling (see the visual-refactor skill) or single-interaction choreography (see microinteractions).", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "why is this confusing, users keep making this mistake, is this discoverable, prevent this user error, does this afford the right action, whats the mental model here, walk the seven stages of action", "role": "usability-analyst", "scope": "diagnosis", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 11, "estimated_tokens": 744, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Diagnose why a product is confusing or error-prone with Don Norman's foundational usability principles — affordances, signifiers, mappings, constraints, feedback, conceptual models, the two gulfs, and human error. Use when the user asks \"why is this confusing\", \"users keep getting this wrong\", \"is this discoverable\", \"what's the mental model here\", or \"how do I prevent this error\". A diagnostic lens, not visual styling (see the visual-refactor skill) or single-interaction choreography (see microinteractions).", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-ui-visual-refactor", "disable_model_invocation": false, "source_id": "source-1", "path": "design-ui-visual-refactor/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-ui-visual-refactor", "disable_model_invocation": false, "description": "Audit an existing UI's visual layer and fix what makes it read as amateur — weak hierarchy, arbitrary spacing, flat depth, clashing color. Produces a scored diagnosis plus concrete edits. Use when the user says \"my UI looks off\", \"make this look more polished\", \"fix the spacing\", \"the design feels amateur\", or \"tighten up this component\". For choosing a design system or component library up front, defer to the UI system advisor; this skill repairs what already exists.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "my ui looks off, make this look more polished, fix the spacing and hierarchy, the design feels amateur, why does this look cheap, tighten up this component, refactor the visual design", "role": "ui-refactorer", "scope": "audit-and-fix", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 565, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Audit an existing UI's visual layer and fix what makes it read as amateur — weak hierarchy, arbitrary spacing, flat depth, clashing color. Produces a scored diagnosis plus concrete edits. Use when the user says \"my UI looks off\", \"make this look more polished\", \"fix the spacing\", \"the design feels amateur\", or \"tighten up this component\". For choosing a design system or component library up front, defer to the UI system advisor; this skill repairs what already exists.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-visual-image-generator", "disable_model_invocation": false, "source_id": "source-1", "path": "design-visual-image-generator/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-visual-image-generator", "disable_model_invocation": false, "description": "Generate general-purpose images from a user-approved creative brief using Google AI Studio (Gemini). Use when asked to \"make an image\", \"generate artwork\", \"create a scene\", \"render an illustration\", \"produce a visual\", or turn a rough prompt into image files.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "turn prompt into image, ask image clarifiers, create concept artwork, render product visual, produce campaign visual, build image prompt, generate reference art, create scene image", "role": "specialist", "scope": "creation", "output_format": "image-set", "related_skills": "nexus-brand-logo-concepts, agents-design-visual-identity, design-product-overview-builder" } }, "structure": { "has_scripts": true, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 572, "complexity_class": "compact", "skill_pattern": "B" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets", "Uses install commands" ] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Generate general-purpose images from a user-approved creative brief using Google AI Studio (Gemini). Use when asked to \"make an image\", \"generate artwork\", \"create a scene\", \"render an illustration\", \"produce a visual\", or turn a rough prompt into image files.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "design-visual-image-system-director", "disable_model_invocation": false, "source_id": "source-1", "path": "design-visual-image-system-director/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-visual-image-system-director", "disable_model_invocation": false, "description": "Plan and direct high-impact cohesive website or campaign image systems before generation. Use when images feel isolated, inconsistent, generic, too similar, low-value, not premium enough, or not aligned to site content; when creating a coordinated set of hero images, service-page visuals, editorial images, diagrams, texture assets, or prompt packs; or when orchestrating image generation with design-visual-image-generator.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "cohesive image set, website imagery, image system, art direction, prompt pack, visual system, consistent generated images, isolated image generation, campaign image suite, hero image set, service page imagery, premium imagery, consulting-grade imagery, high-impact visuals, enterprise-grade art direction", "role": "art-director", "scope": "design", "output_format": "specification", "related_skills": "design-visual-image-generator, nexus-brand-design-system, nexus-brand-design-ux" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 3, "estimated_tokens": 642, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Plan and direct high-impact cohesive website or campaign image systems before generation. Use when images feel isolated, inconsistent, generic, too similar, low-value, not premium enough, or not aligned to site content; when creating a coordinated set of hero images, service-page visuals, editorial images, diagrams, texture assets, or prompt packs; or when orchestrating image generation with design-visual-image-generator.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "design-web-impactful", "disable_model_invocation": false, "source_id": "source-1", "path": "design-web-impactful/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "design-web-impactful", "disable_model_invocation": false, "description": "Design and build conceptually distinctive, award-caliber marketing surfaces that drive conversion and earn attention. Use when a site needs genuine uniqueness: \"feels flat\", \"looks AI-generated\", \"needs to impress top designers\", \"award-worthy design\", \"standout landing page\", \"unlike any competitor\". Two modes: conversion-safe for B2B precision, expressive for award ambition. Never generic, never templated.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.0.0", "triggers": "award-worthy design, make it unique, feels flat, looks AI-generated, standout landing page, impress top designers, high-impact homepage, expressive web design, conversion design, redesign homepage", "role": "principal-marketing-frontend-designer", "scope": "implementation", "output_format": "code", "related_skills": "frontend-design, nexus-brand-design-system, vercel-react-best-practices, nexus-brand-strategist-conversion" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": true, "has_license_file": false, "file_count": 12, "estimated_tokens": 1565, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Design and build conceptually distinctive, award-caliber marketing surfaces that drive conversion and earn attention. Use when a site needs genuine uniqueness: \"feels flat\", \"looks AI-generated\", \"needs to impress top designers\", \"award-worthy design\", \"standout landing page\", \"unlike any competitor\". Two modes: conversion-safe for B2B precision, expressive for award ambition. Never generic, never templated.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "devops-incident-responder", "disable_model_invocation": false, "source_id": "source-1", "path": "devops-incident-responder/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "devops-incident-responder", "disable_model_invocation": false, "description": "Expert SRE incident responder. Use when managing live incidents, conducting post-mortems, classifying severity, coordinating response teams, or improving reliability posture. Invoke for incident triage, runbook execution, blameless retrospectives, SLO burn rate analysis, error budget management, or on-call workflow guidance.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "incident response, incident management, SRE, on-call, post-mortem, outage, degradation, severity classification, P0, P1, SEV-1, SEV-2, runbook, MTTR, MTTD, error budget, SLO, SLI, blameless retrospective, war room, incident commander, on-call rotation, alert triage, service reliability", "role": "specialist", "scope": "implementation", "output_format": "document", "related_skills": "tech-devops-pipeline-architect" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 273, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "devops-incident-responder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Expert SRE incident responder. Use when managing live incidents, conducting post-mortems, classifying severity, coordinating response teams, or improving reliability posture.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "devops-infra-engineer", "disable_model_invocation": false, "source_id": "source-1", "path": "devops-infra-engineer/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "devops-infra-engineer", "disable_model_invocation": false, "description": "Use when setting up CI/CD pipelines, containerizing applications, or managing infrastructure as code. Invoke for pipelines, Docker, Kubernetes, cloud platforms, GitOps.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "DevOps, CI/CD, deployment, Docker, Kubernetes, Terraform, GitHub Actions, infrastructure, platform engineering, incident response, on-call, self-service", "role": "engineer", "scope": "implementation", "output_format": "code", "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 9, "estimated_tokens": 2782, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "devops-infra-engineer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when setting up CI/CD pipelines, containerizing applications, or managing infrastructure as code. Invoke for pipelines, Docker, Kubernetes, cloud platforms, GitOps.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "devops-security-audit-lead", "disable_model_invocation": false, "source_id": "source-1", "path": "devops-security-audit-lead/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "devops-security-audit-lead", "disable_model_invocation": false, "description": "Run broad security audit engagements across code, dependencies, secrets, infrastructure, and DevSecOps controls, then deliver a prioritized vulnerability report with remediation guidance. Use when asked for a 'security audit', 'SAST scan', 'secret scan', 'penetration test', or 'cloud security review' rather than a code-focused OWASP exploitability analysis.", "license": "MIT", "compatibility": null, "allowed_tools": "Read, Grep, Glob, Bash, Write", "metadata": { "version": "1.1.0", "triggers": "security audit, SAST scan, secret scan, penetration test, cloud security review, infrastructure security audit, DevSecOps security review, vulnerability report", "role": "specialist", "scope": "review", "output_format": "report", "related_skills": "devops-security-vulnerability-analyst, secure-code-guardian, code-reviewer, devops-infra-engineer, cloud-architect, kubernetes-specialist" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 1536, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "devops-security-audit-lead", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Run broad security audit engagements across code, dependencies, secrets, infrastructure, and DevSecOps controls, then deliver a prioritized vulnerability report with remediation guidance.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "devops-security-vulnerability-analyst", "disable_model_invocation": false, "source_id": "source-1", "path": "devops-security-vulnerability-analyst/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "devops-security-vulnerability-analyst", "disable_model_invocation": false, "description": "Analyze a codebase like an attacker: map attack surface, apply OWASP 2025, test exploitability, and prioritize auth, injection, supply-chain, and design flaws. Use when asked to \"review code for exploits\", \"analyze attack surface\", \"check OWASP compliance\", \"find auth or injection risks\", or perform exploitability-driven AppSec analysis rather than a broad infrastructure or DevSecOps audit.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "review code for exploits, attack surface analysis, OWASP compliance, injection risk review, auth vulnerability analysis, exploit check, appsec review, supply chain security analysis", "role": "specialist", "scope": "analysis", "output_format": "report", "related_skills": "devops-security-audit-lead, engineering-quality-tdd, data-eng-pipeline-architect" } }, "structure": { "has_scripts": true, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 3, "estimated_tokens": 1045, "complexity_class": "detailed", "skill_pattern": "B" }, "evaluation": { "name": "devops-security-vulnerability-analyst", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets", "Uses execution patterns" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 3, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Analyze a codebase like an attacker: map attack surface, apply OWASP 2025, test exploitability, and prioritize auth, injection, supply-chain, and design flaws.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "System commands / shell access", "Python 3+" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "engineering-agents-md-curator", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-agents-md-curator/SKILL.md", "url": null, "plugins": [ "agent-tools" ], "frontmatter": { "name": "engineering-agents-md-curator", "disable_model_invocation": true, "description": "Curate a repository's AGENTS.md (the system-of-truth agent-instructions file) and, when needed, the Copilot per-file rules at .github/instructions/*.instructions.md that AGENTS.md points to. Use when asked to clean up an AGENTS.md, refine agent instructions, reorganize a messy AGENTS.md, lift content out of migrated blocks, standardize an AGENTS.md, add sections to an AGENTS.md, or write a path-specific .instructions.md file for Copilot.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "3.0.0", "triggers": "refine agents.md, curate agents.md, clean up agents.md, reorganize agents.md, lift migrated content out of agents.md, standardize agents.md, add sections to agents.md, write path-specific instructions.md, add copilot per-file rules", "role": "specialist", "scope": "execution", "output_format": "markdown-file", "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 838, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Curate a repository's AGENTS.md (the system-of-truth agent-instructions file) and, when needed, the Copilot per-file rules at .github/instructions/*.instructions.md that AGENTS.md points to. Use when asked to clean up an AGENTS.md, refine agent instructions, reorganize a messy AGENTS.md, lift content out of migrated blocks, standardize an AGENTS.md, add sections to an AGENTS.md, or write a path-specific .instructions.md file for Copilot.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-api-mcp-builder", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-api-mcp-builder/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-api-mcp-builder", "disable_model_invocation": false, "description": "Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when asked to build an MCP server, create MCP tools, integrate an API with MCP, set up a protocol server, or develop an MCP integration. Supports Python (FastMCP) and Node/TypeScript (MCP SDK).", "license": "Apache 2.0", "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": true, "file_count": 10, "estimated_tokens": 4572, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "name": "engineering-api-mcp-builder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "Python 3+" ], "script_languages": [ "python" ], "license": "Apache 2.0" } }, { "name": "engineering-api-n8n-workflow-builder", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-api-n8n-workflow-builder/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-api-n8n-workflow-builder", "disable_model_invocation": true, "description": "Expert n8n workflow designer. Turns a user prompt into a production-ready, importable n8n workflow JSON file with triggers, nodes, connections, AI agents, error handling, retries, and a getting-started guide. Use when the user asks to \"build an n8n workflow\", \"create an n8n automation\", \"design an n8n flow\", \"automate [task] with n8n\", \"convert this process to n8n\", \"n8n workflow from prompt\", or mentions n8n alongside automation, integration, webhook, AI agent, Zapier-alternative, or no-code workflow orchestration. Interviews the user for objectives, inputs, outputs, services, and reliability needs before generating the JSON.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "n8n, n8n workflow, n8n automation, build n8n flow, n8n JSON, workflow automation, no-code automation, webhook workflow, AI agent workflow, zapier alternative, make.com alternative, process automation, integration workflow, orchestration pipeline", "role": "n8n-workflow-architect", "scope": "design", "output_format": "specification", "related_skills": "data-eng-pipeline-architect, tech-api, agents-skill-plugin-builder" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": true, "has_license_file": false, "file_count": 7, "estimated_tokens": 1098, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "engineering-api-n8n-workflow-builder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Expert n8n workflow designer.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-arch-architecture-decision-records", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-arch-architecture-decision-records/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-arch-architecture-decision-records", "disable_model_invocation": false, "description": "Create, manage, and maintain Architecture Decision Records (ADRs). Use when making significant architectural decisions, documenting technology choices, recording design trade-offs, onboarding engineers to historical decisions, or establishing ADR processes. Invoke for: ADR writing, ADR templates, MADR format, decision documentation, architecture decision record, technical decision log, ADR lifecycle, supersede decision, deprecation ADR, RFC-style decision.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "create ADR, write ADR, architecture decision record, document architecture decision, ADR template, MADR, record technical decision, decision log, ADR lifecycle, ADR management, supersede ADR, deprecate decision, architecture governance", "role": "architect", "scope": "design", "output_format": "document", "related_skills": "tech-arch-system-design, engineering-quality-tdd" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 439, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-arch-architecture-decision-records", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "Uses install commands" ], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 3, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Create, manage, and maintain Architecture Decision Records (ADRs).", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "Package installation" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-arch-design-reviewer", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-arch-design-reviewer/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-arch-design-reviewer", "disable_model_invocation": true, "description": "Structural software design review of an existing codebase using John Ousterhout's \"A Philosophy of Software Design\" as the diagnostic lens. Surfaces shallow modules, information leakage, special-case proliferation, naming obscurity, and inconsistency — then recommends the smallest design change that eliminates the most complexity. Use when asked to \"review module design\", \"is this over-abstracted\", \"are my modules too shallow\", \"audit complexity\", \"find pass-through layers\", or \"review software design quality\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.1.0", "triggers": "review module design, audit module structure, are my modules too shallow, is this over-abstracted, find pass-through layers, fix information leakage, reduce code complexity, simplify error handling, audit naming clarity, review interface design", "role": "architect", "scope": "analysis", "output_format": "report", "related_skills": "engineering-arch-principle-engineer, engineering-arch-system-designer, engineering-quality-code-simplifier" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 9, "estimated_tokens": 3680, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Structural software design review of an existing codebase using John Ousterhout's \"A Philosophy of Software Design\" as the diagnostic lens. Surfaces shallow modules, information leakage, special-case proliferation, naming obscurity, and inconsistency — then recommends the smallest design change that eliminates the most complexity. Use when asked to \"review module design\", \"is this over-abstracted\", \"are my modules too shallow\", \"audit complexity\", \"find pass-through layers\", or \"review software design quality\".", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-arch-principle-engineer", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-arch-principle-engineer/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-arch-principle-engineer", "disable_model_invocation": true, "description": "Principled engineering review that critiques an existing codebase or architecture for simplicity, leverage, and smallest viable change. Use when asked to \"review my code\", \"is this over-engineered\", \"what should I cut\", or \"spot premature abstraction\". Not for greenfield system design or security audits.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "principal engineer review, codebase complexity audit, find missing leverage, surgical engineering critique, avoid rewrite, reduce technical debt, simplify architecture, review architecture tradeoffs", "role": "principal-engineer", "scope": "analysis", "output_format": "report", "related_skills": "engineering-arch-system-designer, engineering-quality-code-simplifier, devops-security-vulnerability-analyst" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 3, "estimated_tokens": 517, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-arch-principle-engineer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 4 }, "weighted_score": 4.05, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Principled engineering review that critiques an existing codebase or architecture for simplicity, leverage, and smallest viable change.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-arch-system-designer", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-arch-system-designer/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-arch-system-designer", "disable_model_invocation": false, "description": "Senior architect for system design, architecture decisions, pattern selection, ADRs, scalability planning, and technology evaluation. Use when designing new systems, choosing architecture patterns, writing ADRs, selecting databases, planning for scale or failure, or reviewing existing architecture.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "architecture, system design, design pattern, microservices, monolith, event-driven, CQRS, scalability, NFR, non-functional requirements, database selection, distributed systems, technical design, infrastructure design, review architecture, tech stack", "role": "architect", "scope": "design", "output_format": "document", "related_skills": "engineering-dev-git-commit" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 744, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-arch-system-designer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Senior architect for system design, architecture decisions, pattern selection, ADRs, scalability planning, and technology evaluation.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-data-scraper", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-data-scraper/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-data-scraper", "disable_model_invocation": true, "description": "Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically, or when they say \"build a bot that checks\", \"monitor X for me\", \"collect data from\", \"automate data collection\", \"track prices\", \"track jobs\", \"web scraper\", or \"data scraper\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "scrape website, build a bot that checks, monitor X for me, collect data, track prices, track jobs, automate data collection, data scraper, web scraper, build scraper, free scraper, GitHub Actions scraper, Gemini scraper, Notion scraper", "role": "specialist", "scope": "execution", "output_format": "code", "related_skills": "engineering-api-mcp-builder, engineering-dev-writing-plans" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 8, "estimated_tokens": 1225, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "engineering-data-scraper", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets", "Makes outbound network calls" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 2 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "External APIs or services" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-database-optimizer", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-database-optimizer/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-database-optimizer", "disable_model_invocation": false, "description": "Use when a database is slow, queries are taking too long, or you need to analyze an execution plan. Invoke for index design, query rewrites, configuration tuning, partitioning, lock contention, or improving cache hit rates. Also use when asked to \"optimize this query\", \"why is my database slow\", \"EXPLAIN ANALYZE\", \"add an index\", \"tune PostgreSQL config\", or \"MySQL performance\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "database optimization, slow query, query performance, database tuning, index optimization, execution plan, EXPLAIN ANALYZE, database performance, PostgreSQL optimization, MySQL optimization", "role": "specialist", "scope": "optimization", "output_format": "analysis-and-code", "related_skills": "data-ai-autoresearch" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 2644, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "engineering-database-optimizer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when a database is slow, queries are taking too long, or you need to analyze an execution plan.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-dev-clarify-requirements", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-dev-clarify-requirements/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-dev-clarify-requirements", "disable_model_invocation": false, "description": "Ask the smallest set of clarifying questions before starting work when a request has multiple plausible readings or missing key details, so you avoid building the wrong thing. Use when a task is ambiguous and you catch yourself about to \"just start coding\", when \"the requirements are unclear\", or when there are \"several ways to interpret this\" and picking wrong is costly.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "request is ambiguous, unclear what to build, multiple interpretations possible, confirm scope before coding, what does done mean here, ask before implementing, requirements are vague", "role": "developer", "scope": "intake", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 146, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Ask the smallest set of clarifying questions before starting work when a request has multiple plausible readings or missing key details, so you avoid building the wrong thing. Use when a task is ambiguous and you catch yourself about to \"just start coding\", when \"the requirements are unclear\", or when there are \"several ways to interpret this\" and picking wrong is costly.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-dev-git-commit", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-dev-git-commit/SKILL.md", "url": null, "plugins": [ "dev", "tech" ], "frontmatter": { "name": "engineering-dev-git-commit", "disable_model_invocation": true, "description": "Execute the current repo's commit-and-push cycle: inspect the diff, draft a tight commit message, stage the right files, commit, and push. Use when asked to 'commit changes', 'push work', 'stage changes', 'write this commit message', or 'commit and push' rather than design a branching strategy or explain Git policy.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "commit changes, commit and push, push work, stage changes, write this commit message, git commit this repo, push this branch, save to remote", "role": "developer", "scope": "workflow", "output_format": "command", "related_skills": "engineering-dev-git-start-branch, engineering-dev-git-finish-branch, engineering-dev-git-workflow-design, content-copy-caveman" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 237, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-dev-git-commit", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Execute the current repo's commit-and-push cycle: inspect the diff, draft a tight commit message, stage the right files, commit, and push.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-dev-git-finish-branch", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-dev-git-finish-branch/SKILL.md", "url": null, "plugins": [ "dev", "tech" ], "frontmatter": { "name": "engineering-dev-git-finish-branch", "disable_model_invocation": true, "description": "Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "finish branch, merge branch, open PR, create pull request, complete work, done with feature, ship this, integrate branch", "role": "developer", "scope": "workflow", "output_format": "commands", "related_skills": "engineering-dev-git-start-branch, engineering-dev-git-commit, engineering-dev-git-workflow-design" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 302, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-dev-git-finish-branch", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "engineering-dev-git-start-branch", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-dev-git-start-branch/SKILL.md", "url": null, "plugins": [ "dev", "tech" ], "frontmatter": { "name": "engineering-dev-git-start-branch", "disable_model_invocation": true, "description": "Start a new GitHub Flow branch from an up-to-date base — infers branch type, derives a kebab-case name, pulls latest main, creates the branch, and sets up upstream tracking. Use when \"start a branch\", \"create a feature branch\", \"new fix branch\", \"begin work on\", \"checkout a new branch\", \"spin up a branch\", or \"start working on a new task\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "start a branch, create a branch, new feature branch, new fix branch, begin work, spin up branch, start working on, checkout new branch, create branch from main, start github flow, new branch", "role": "developer", "scope": "workflow", "output_format": "commands", "related_skills": "engineering-dev-git-commit, engineering-dev-git-finish-branch, engineering-dev-git-workflow-design" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 175, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Start a new GitHub Flow branch from an up-to-date base — infers branch type, derives a kebab-case name, pulls latest main, creates the branch, and sets up upstream tracking. Use when \"start a branch\", \"create a feature branch\", \"new fix branch\", \"begin work on\", \"checkout a new branch\", \"spin up a branch\", or \"start working on a new task\".", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-dev-git-workflow-design", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-dev-git-workflow-design/SKILL.md", "url": null, "plugins": [ "dev", "tech" ], "frontmatter": { "name": "engineering-dev-git-workflow-design", "disable_model_invocation": false, "description": "Advise on team Git workflow design: branching strategy, merge vs rebase, commit conventions, PR process, release flow, and conflict handling. Use when asked to 'set up a branching strategy', 'choose between rebase and merge', 'resolve merge conflicts', 'write a PR description', or define version-control conventions rather than commit or push the current repo state.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "branching strategy, merge vs rebase, conflict resolution, PR description, pull request template, gitflow, trunk-based development, github flow, release management", "role": "specialist", "scope": "advisory", "output_format": "instructions, commands, templates", "related_skills": "engineering-dev-git-commit, engineering-dev-git-finish-branch, engineering-quality-tdd, engineering-quality-requesting-review" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 11, "estimated_tokens": 975, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "engineering-dev-git-workflow-design", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Advise on team Git workflow design: branching strategy, merge vs rebase, commit conventions, PR process, release flow, and conflict handling.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-dev-writing-plans", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-dev-writing-plans/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-dev-writing-plans", "disable_model_invocation": true, "description": "Use when you have a spec or requirements for a multi-step task, before touching code", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 152, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-dev-writing-plans", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 2, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.5, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when you have a spec or requirements for a multi-step task, before touching code.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "engineering-feature-forge", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-feature-forge/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-feature-forge", "disable_model_invocation": false, "description": "Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements workshops, user stories, EARS requirements, acceptance criteria, and implementation-ready specs.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.1.0", "triggers": "feature definition, requirements gathering, requirements workshop, specification writing, user stories, EARS, acceptance criteria, implementation planning", "role": "specialist", "scope": "design", "output_format": "document", "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 783, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements workshops, user stories, EARS requirements, acceptance criteria, and implementation-ready specs.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-github-ops", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-github-ops/SKILL.md", "url": null, "plugins": [ "dev", "tech" ], "frontmatter": { "name": "engineering-github-ops", "disable_model_invocation": true, "description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands. Trigger on: \"check GitHub\", \"triage issues\", \"review open PRs\", \"close stale issues\", \"CI is broken\", \"prepare a release\", \"check dependabot\", \"merge PRs\", \"debug workflow\".", "license": "MIT", "compatibility": "Requires gh CLI installed and authenticated via `gh auth login`. All GitHub API operations use gh — no browser or REST calls.", "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "triage issues, review PRs, merge PRs, close stale, CI failure, prepare release, check dependabot, security alerts, github ops, manage contributors, stale issues, PR review", "role": "specialist", "scope": "operational", "output_format": "shell commands with explanations", "related_skills": "git-workflow, engineering-quality-requesting-review" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 223, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-github-ops", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-github-repo-standards", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-github-repo-standards/SKILL.md", "url": null, "plugins": [ "dev", "tech" ], "frontmatter": { "name": "engineering-github-repo-standards", "disable_model_invocation": true, "description": "Apply standardized GitHub repository best practices — branch protection, security features, access controls, and required file artifacts — directly to one or more repos via the `gh` CLI. Use when asked to \"standardize a repo\", \"harden this repository\", \"set up CODEOWNERS\", \"apply regulated settings\", or \"configure GitHub repo settings\". Supports four profiles (standard, collaborative, monorepo, regulated) and two context modes (internal, external). File artifacts are delivered via pull request; an audit-trail script is available on request.", "license": "MIT", "compatibility": "Requires gh CLI ≥ 2.28 installed and authenticated via `gh auth login`. Admin permissions required on target repo(s).", "allowed_tools": null, "metadata": { "version": "2.1.1", "triggers": "standardize repo, apply github repo settings, set up CODEOWNERS, harden repository, apply regulated settings, branch protection at scale, repo compliance settings, squash merge policy, dependabot and secret scanning setup, gh cli repo configuration", "role": "specialist", "scope": "automation", "output_format": "applied repo settings + artifact PR (+ optional audit script)", "related_skills": "engineering-github-ops, engineering-arch-architecture-decision-records, devops-security-audit-lead, devops-infra-engineer" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 3468, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets", "Uses install commands" ] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Apply standardized GitHub repository best practices — branch protection, security features, access controls, and required file artifacts — directly to one or more repos via the `gh` CLI. Use when asked to \"standardize a repo\", \"harden this repository\", \"set up CODEOWNERS\", \"apply regulated settings\", or \"configure GitHub repo settings\". Supports four profiles (standard, collaborative, monorepo, regulated) and two context modes (internal, external). File artifacts are delivered via pull request; an audit-trail script is available on request.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-legacy-modernizer", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-legacy-modernizer/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-legacy-modernizer", "disable_model_invocation": false, "description": "Use when modernizing legacy systems, planning or implementing incremental migration strategies, or reducing technical debt. Invoke for strangler fig pattern, monolith decomposition, framework upgrades, and legacy refactoring safety nets.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.1.0", "triggers": "legacy modernization, strangler fig, incremental migration, technical debt, legacy refactoring, system migration, legacy system, modernize codebase", "role": "specialist", "scope": "design-and-implementation", "output_format": "plan+code", "related_skills": "tech-spec-miner, engineering-quality-tdd, devops-infra-engineer" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 2706, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "engineering-legacy-modernizer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when modernizing legacy systems, planning or implementing incremental migration strategies, or reducing technical debt.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-quality-code-simplifier", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-quality-code-simplifier/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-quality-code-simplifier", "disable_model_invocation": false, "description": "Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to simplify code, clean up code, refactor for readability, reduce complexity, apply coding standards, or improve code elegance. Focuses on recently modified code unless instructed otherwise.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 79, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-quality-code-simplifier", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "engineering-quality-critique-panel", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-quality-critique-panel/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-quality-critique-panel", "disable_model_invocation": true, "description": "Orchestrate a panel of independent judge agents that review completed work, debate their disagreements, and reach a consensus verdict — report-only, no fixes applied. Use when asked to \"critique my work\", \"run a multi-perspective review\", \"get a second opinion on these changes\", or \"score my implementation before I ship\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "review my code from multiple angles, run a debate review, spin up a judge panel, evaluate implementation quality, find weaknesses in my changes, adversarial review of my work, decide if this is ready to ship", "role": "reviewer", "scope": "quality", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 167, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Orchestrate a panel of independent judge agents that review completed work, debate their disagreements, and reach a consensus verdict — report-only, no fixes applied. Use when asked to \"critique my work\", \"run a multi-perspective review\", \"get a second opinion on these changes\", or \"score my implementation before I ship\".", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "engineering-quality-receiving-review", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-quality-receiving-review/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-quality-receiving-review", "disable_model_invocation": true, "description": "Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 278, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-quality-receiving-review", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 3, "reusability": 3 }, "weighted_score": 3.5, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "engineering-quality-requesting-review", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-quality-requesting-review/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-quality-requesting-review", "disable_model_invocation": true, "description": "Use when completing tasks, implementing major features, or before merging to verify work meets requirements", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 327, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "engineering-quality-requesting-review", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 2, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.5, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when completing tasks, implementing major features, or before merging to verify work meets requirements.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "engineering-quality-tdd", "disable_model_invocation": true, "source_id": "source-1", "path": "engineering-quality-tdd/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "engineering-quality-tdd", "disable_model_invocation": true, "description": "Use when implementing any feature or bugfix, before writing implementation code", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 872, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "engineering-quality-tdd", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 2, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.5, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when implementing any feature or bugfix, before writing implementation code.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "engineering-repo-scaffolder", "disable_model_invocation": false, "source_id": "source-1", "path": "engineering-repo-scaffolder/SKILL.md", "url": null, "plugins": [ "dev" ], "frontmatter": { "name": "engineering-repo-scaffolder", "disable_model_invocation": false, "description": "Engineering repository scaffolding and alignment skill for minimal starter shells, structure audits, and existing-project migrations. Use when a user wants a new repo baseline, a repository brought back to standard, or a reorganization plan for docs, automation, source, and agent assets.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.6.0", "triggers": "create starter shell, bootstrap project structure, apply project structure, align existing repository, audit repository layout, migrate repo to standard, reorganize repository, update scaffold artifacts", "role": "repo-scaffolder", "scope": "design", "output_format": "plan", "related_skills": "skill-architect" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": true, "has_license_file": false, "file_count": 26, "estimated_tokens": 4397, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "medium", "findings": [ "References credentials/secrets", "Uses install commands" ], "rationale": "Evaluated from scanner signals." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Engineering repository scaffolding and alignment skill for minimal starter shells, structure audits, and existing-project migrations. Use when a user wants a new repo baseline, a repository brought back to standard, or a reorganization plan for docs, automation, source, and agent assets.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "bash", "powershell" ], "license": "MIT" } }, { "name": "knowledge-context-curator", "disable_model_invocation": false, "source_id": "source-1", "path": "knowledge-context-curator/SKILL.md", "url": null, "plugins": [ "agent-tools" ], "frontmatter": { "name": "knowledge-context-curator", "disable_model_invocation": false, "description": "Build a context-engineering repository: a governed knowledge base that turns source material into auditable, task-ready agent context. Default root is `context/`, but the root name is configurable and a single project may host several roots (for example `context-core/`, `context-product/`, `context-customer/`). Use when asked to \"create a context repository\", \"build a context engineering repo\", \"ingest these sources\", \"organize research for agents\", or \"build a knowledge base\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "set up agent context repository, turn documents into agent context, ingest source material, query governed context, clean up knowledge base, resolve context contradictions, organize research for agents, maintain source-backed wiki", "role": "context curator", "scope": "system-design", "output_format": "repository", "related_skills": "grill-with-docs, marketing-compliance-content-reviewer" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": true, "has_license_file": false, "file_count": 21, "estimated_tokens": 3001, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Build a context-engineering repository: a governed knowledge base that turns source material into auditable, task-ready agent context. Default root is `context/`, but the root name is configurable and a single project may host several roots (for example `context-core/`, `context-product/`, `context-customer/`). Use when asked to \"create a context repository\", \"build a context engineering repo\", \"ingest these sources\", \"organize research for agents\", or \"build a knowledge base\".", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "knowledge-context-session-handover", "disable_model_invocation": true, "source_id": "source-1", "path": "knowledge-context-session-handover/SKILL.md", "url": null, "plugins": [ "agent-tools" ], "frontmatter": { "name": "knowledge-context-session-handover", "disable_model_invocation": true, "description": "Write an end-of-session handover document that captures progress, decisions and their rationale, current file state, blockers, and concrete next steps, so the next session or agent resumes without re-deriving context. Use when asked to \"create a handover\", \"save session state\", \"write a handoff doc\", or \"capture where we left off\" before ending or switching a work session.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "create a handover, save session state, write a handoff before I stop, capture where we left off, document this session for next time, hand this off to another agent", "role": "context-curator", "scope": "continuity", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 205, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Write an end-of-session handover document that captures progress, decisions and their rationale, current file state, blockers, and concrete next steps, so the next session or agent resumes without re-deriving context. Use when asked to \"create a handover\", \"save session state\", \"write a handoff doc\", or \"capture where we left off\" before ending or switching a work session.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "knowledge-ops", "disable_model_invocation": true, "source_id": "source-1", "path": "knowledge-ops/SKILL.md", "url": null, "plugins": [ "agent-tools" ], "frontmatter": { "name": "knowledge-ops", "disable_model_invocation": true, "description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems. Trigger on \"save this to KB\", \"sync knowledge\", \"ingest this\", \"update the knowledge base\", \"what do I know about X\", \"deduplicate my notes\", \"commit to knowledge base\".", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "save to KB, sync knowledge, ingest this, update knowledge base, deduplicate notes, commit to knowledge base, what do I know about, organize knowledge, search knowledge base, knowledge sync", "role": "specialist", "scope": "operational", "output_format": "commands, structured notes, confirmation", "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 210, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "knowledge-ops", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos).", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "legal-compliance-regulatory-monitor", "disable_model_invocation": false, "source_id": "source-1", "path": "legal-compliance-regulatory-monitor/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "legal-compliance-regulatory-monitor", "disable_model_invocation": false, "description": "Collect and maintain upstream compliance intelligence for financial services and life insurance marketing across company, industry, federal, and state guidance. Use when teams need regulatory monitoring, state-by-state scans, standards-register updates, evidence libraries, or compliant language strategy for future reviews rather than a line-by-line go/no-go review of one asset.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "compliance research, regulatory monitoring, federal and state compliance scan, standards register, compliance evidence library, regulatory watchlist, state DOI guidance, SEC advertising guidance", "role": "analyst", "scope": "analysis", "output_format": "report", "related_skills": "legal-compliance-creative-review, marketing-brand-strategist, content-copy-clear-writing" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 14, "estimated_tokens": 2022, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "legal-compliance-regulatory-monitor", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Collect and maintain upstream compliance intelligence for financial services and life insurance marketing across company, industry, federal, and state guidance.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "marketing-brand-strategist", "disable_model_invocation": true, "source_id": "source-1", "path": "marketing-brand-strategist/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-brand-strategist", "disable_model_invocation": true, "description": "Expert brand naming and domain strategy skill. Use whenever the user wants to name a business, product, project, side hustle, website, app, or any venture and find an available domain for it. Also use when the user asks for domain name ideas, wants to brainstorm brand names, needs help choosing between name candidates, wants to rebrand or rename something, or asks for creative business name suggestions. Trigger on phrases like 'name my company', 'domain name ideas', 'what should I call my...', 'help me find a name', 'brand name for', 'I need a domain', or any request involving naming + domain availability. This skill should also trigger when the user is unhappy with generic name suggestions and wants more creative, strategically grounded options.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 3, "estimated_tokens": 488, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "marketing-brand-strategist", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Expert brand naming and domain strategy skill. Use whenever the user wants to name a business, product, project, side hustle, website, app, or any venture and find an available domain for it.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-campaign-go-to-market", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-campaign-go-to-market/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-campaign-go-to-market", "disable_model_invocation": false, "description": "Analyzes the founder's business context to deliver 3 best go-to-market strategies tailored to their current stage, product, and market. Asks up to 10 diagnostic questions when needed to understand product readiness, target market clarity, competitive positioning, and distribution channels. Use when user needs go-to-market strategy, launch planning, market entry strategy, or actionable GTM roadmap.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 578, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "marketing-campaign-go-to-market", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Analyzes the founder's business context to deliver 3 best go-to-market strategies tailored to their current stage, product, and market.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-campaign-ideas", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-campaign-ideas/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-campaign-ideas", "disable_model_invocation": false, "description": "Produces the best marketing ideas for your business by analyzing your FOUNDER_CONTEXT and matching it against a curated database of 170+ proven marketing strategies. Use when user needs creative, actionable marketing ideas tailored to their business.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 2068, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "marketing-campaign-ideas", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 2, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.5, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Produces the best marketing ideas for your business by analyzing your FOUNDER_CONTEXT and matching it against a curated database of 170+ proven marketing strategies.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-campaign-product-hunt-launch", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-campaign-product-hunt-launch/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-campaign-product-hunt-launch", "disable_model_invocation": false, "description": "Creates a comprehensive, personalized Product Hunt launch plan to rank \\#1. Use when user needs a step-by-step Product Hunt launch strategy, launch checklist, or wants to maximize their Product Hunt success.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 1038, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "marketing-campaign-product-hunt-launch", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Creates a comprehensive, personalized Product Hunt launch plan to rank #1.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-campaign-psychology", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-campaign-psychology/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-campaign-psychology", "disable_model_invocation": false, "description": "Apply psychological principles and mental models to marketing. Use when working with cognitive bias, persuasion frameworks, consumer behavior, pricing psychology, or behavioral science in campaigns. Invoke for buyer decision-making, conversion optimization, ethical influence tactics, or mental model selection for marketing strategy.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "marketing psychology, mental models, cognitive bias, persuasion, behavioral science, consumer behavior, why people buy, decision-making, pricing psychology, buyer behavior, conversion psychology, ethical influence", "role": "specialist", "scope": "analysis", "output_format": "content", "related_skills": "marketing-campaign-ideas, marketing-campaign-go-to-market, content-behavioral-nudge-unit" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 1054, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "marketing-campaign-psychology", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Apply psychological principles and mental models to marketing. Use when working with cognitive bias, persuasion frameworks, consumer behavior, pricing psychology, or behavioral science in campaigns.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "marketing-content-brand-copywriter", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-content-brand-copywriter/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-content-brand-copywriter", "disable_model_invocation": false, "description": "Writes marketing copy using proven copywriting frameworks. Use when user needs copy for ads (Facebook, Instagram, TikTok, YouTube), landing pages, sales pages, email sequences, LinkedIn posts, product descriptions, or any marketing content.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 1430, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "marketing-content-brand-copywriter", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Writes marketing copy using proven copywriting frameworks.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-content-engine", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-content-engine/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-content-engine", "disable_model_invocation": false, "description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 171, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "marketing-content-engine", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-content-lead-magnet", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-content-lead-magnet/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-content-lead-magnet", "disable_model_invocation": false, "description": "Creates viral lead magnet posts that drive comments and DMs. Produces 2 versions - a quick punchy format and a detailed format with bullet points. Use when user needs social media posts to give away a lead magnet in exchange for engagement.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 860, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "marketing-content-lead-magnet", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 2, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.5, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Creates viral lead magnet posts that drive comments and DMs. Produces 2 versions - a quick punchy format and a detailed format with bullet points.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-content-linkedin-writer", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-content-linkedin-writer/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-content-linkedin-writer", "disable_model_invocation": false, "description": "Creates LinkedIn-native authority posts for founders, operators, and professional audiences using save-worthy story arcs, insight framing, and voice matching. Use when asked for 'LinkedIn thought leadership', 'a founder LinkedIn update', 'a professional LinkedIn narrative', or polished LinkedIn copy rather than tweets or thread-first content.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "LinkedIn thought leadership, founder LinkedIn update, professional LinkedIn narrative, LinkedIn authority post, LinkedIn carousel caption, polished LinkedIn copy", "role": "writer", "scope": "creation", "output_format": "content", "related_skills": "marketing-content-x-thread-builder, marketing-content-viral-hook, marketing-content-lead-magnet" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 3, "estimated_tokens": 1058, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "marketing-content-linkedin-writer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Creates LinkedIn-native authority posts for founders, operators, and professional audiences using save-worthy story arcs, insight framing, and voice matching.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "marketing-content-viral-hook", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-content-viral-hook/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-content-viral-hook", "disable_model_invocation": false, "description": "Creates viral social media hooks using proven psychological patterns and trigger words. Use when user needs attention-grabbing openings for posts, threads, videos, or content.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 1001, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "marketing-content-viral-hook", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Creates viral social media hooks using proven psychological patterns and trigger words. Use when user needs attention-grabbing openings for posts, threads, videos, or content.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-content-x-thread-builder", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-content-x-thread-builder/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-content-x-thread-builder", "disable_model_invocation": false, "description": "Creates tweetstorms, hot takes, and fast-moving X threads using creator-voice matching, punchy hooks, and feed-native brevity. Use when asked for 'a tweetstorm', 'an X thread', 'a Twitter hot take', 'feed-ready X copy', or thread-first social content rather than polished LinkedIn narrative writing.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "tweetstorm, X thread, Twitter hot take, feed-ready X copy, thread-first social content, tweet-sized opinion", "role": "writer", "scope": "creation", "output_format": "content", "related_skills": "marketing-content-linkedin-writer, marketing-content-viral-hook, marketing-content-lead-magnet" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 2108, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "marketing-content-x-thread-builder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Creates tweetstorms, hot takes, and fast-moving X threads using creator-voice matching, punchy hooks, and feed-native brevity.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "marketing-customer-segmentation", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-customer-segmentation/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-customer-segmentation", "disable_model_invocation": false, "description": "Expert-level customer segmentation analysis using hybrid qualitative/quantitative methods. Builds data-driven segment personas grounded in statistical profiles, not archetypes. Use when asked to \"segment customers\", \"identify customer segments\", \"build buyer personas\", \"customer clustering\", \"market segmentation\", \"audience segmentation\", \"TAM analysis\", \"ICP definition\", \"customer profiling\", \"segment sizing\", \"segment prioritization\", or when needing to understand who to target for acquisition, retention, upsell, or product-market fit.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 10, "estimated_tokens": 3981, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "marketing-customer-segmentation", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Expert-level customer segmentation analysis using hybrid qualitative/quantitative methods. Builds data-driven segment personas grounded in statistical profiles, not archetypes.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-seo-adsense-readiness", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-seo-adsense-readiness/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-seo-adsense-readiness", "disable_model_invocation": false, "description": "Analyze websites and projects for Google AdSense compliance and readiness. Use when asked to check AdSense eligibility, audit a site for Google Ads, verify publisher policy compliance, prepare a site for monetization, or fix AdSense policy violations. Covers content quality, ad placement, privacy requirements, and technical standards.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 1427, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "marketing-seo-adsense-readiness", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Analyze websites and projects for Google AdSense compliance and readiness.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-seo-adsense-review", "disable_model_invocation": true, "source_id": "source-1", "path": "marketing-seo-adsense-review/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-seo-adsense-review", "disable_model_invocation": true, "description": "Perform a comprehensive live-site review mimicking the Google AdSense approval process. Use when a site has been rejected by AdSense (especially for \"low value content\"), when preparing to submit/resubmit a site for AdSense approval, or when diagnosing why a site keeps getting flagged. Requires a URL. Crawls the live site and evaluates it against every criterion Google reviewers check: content quality/depth/originality, navigation/UX, technical compliance, privacy policy, ads.txt, Better Ads Standards, and more.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 1779, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "marketing-seo-adsense-review", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Perform a comprehensive live-site review mimicking the Google AdSense approval process.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-seo-cro", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-seo-cro/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-seo-cro", "disable_model_invocation": false, "description": "Analyzes landing pages and provides detailed CRO (Conversion Rate Optimization) recommendations. Use when user provides a landing page URL or HTML/CSS code and needs optimization advice to maximize conversions, signups, or sales. Extracts page elements, audits against proven CRO principles, and delivers actionable recommendations in report format.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 1768, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "marketing-seo-cro", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Analyzes landing pages and provides detailed CRO (Conversion Rate Optimization) recommendations.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "marketing-seo-structured-data", "disable_model_invocation": false, "source_id": "source-1", "path": "marketing-seo-structured-data/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "marketing-seo-structured-data", "disable_model_invocation": false, "description": "Audit, generate, and validate schema.org structured data (JSON-LD) and Google Search \"Appearance\" signals to make a site or page eligible for richer search results. Use when the user wants rich results / rich snippets, schema markup, JSON-LD, structured data, \"how do I get stars/breadcrumbs/sitelinks in Google\", a knowledge panel, a favicon or sitename in search, better title links or meta-description snippets, or markup for a specific entity: Article, Product, Review, Organization, Local business, Profile page (author/about/bio pages like a personal site), Person, Event, Job posting, Recipe, Video, Breadcrumb, FAQ/Q&A, Course, Dataset, Software app, Movie, and other Google-supported types. Also for \"why isn''t my structured data showing\", validating existing markup, or planning which structured data a page should have.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "structured data, schema markup, JSON-LD, rich results, rich snippets, schema.org, google search appearance, rich result test, breadcrumb markup, product schema, article schema, organization schema, local business schema, profile page schema, person schema, event schema, job posting schema, recipe schema, video schema, faq schema, review stars, sitelinks, favicon, sitename, knowledge panel, meta description, title link, why isn't my structured data showing, validate schema", "role": "seo-engineer", "scope": "audit-generate-validate", "output_format": "report+code", "related_skills": "marketing-seo-cro, content-meta-design, marketing-seo-adsense-review, engineering-data-scraper" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 8, "estimated_tokens": 1043, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Audit, generate, and validate schema.org structured data (JSON-LD) and Google Search \"Appearance\" signals to make a site or page eligible for richer search results. Use when the user wants rich results / rich snippets, schema markup, JSON-LD, structured data, \"how do I get stars/breadcrumbs/sitelinks in Google\", a knowledge panel, a favicon or sitename in search, better title links or meta-description snippets, or markup for a specific entity: Article, Product, Review, Organization, Local business, Profile page (author/about/bio pages like a personal site), Person, Event, Job posting, Recipe, Video, Breadcrumb, FAQ/Q&A, Course, Dataset, Software app, Movie, and other Google-supported types. Also for \"why isn''t my structured data showing\", validating existing markup, or planning which structured data a page should have.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "ops-process-sop-creator", "disable_model_invocation": false, "source_id": "source-1", "path": "ops-process-sop-creator/SKILL.md", "url": null, "plugins": [ "ops" ], "frontmatter": { "name": "ops-process-sop-creator", "disable_model_invocation": false, "description": "Creates detailed Standard Operating Procedures (SOPs) for business processes. Use when user needs SOPs, process documentation, operational guides, workflow documentation, or step-by-step instructions for repeatable business processes.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 318, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "ops-process-sop-creator", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Creates detailed Standard Operating Procedures (SOPs) for business processes.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "people-comms-announce-organizational", "disable_model_invocation": false, "source_id": "source-1", "path": "people-comms-announce-organizational/SKILL.md", "url": null, "plugins": [ "comms" ], "frontmatter": { "name": "people-comms-announce-organizational", "disable_model_invocation": false, "description": "Draft professional internal announcements for organizational and role changes, including promotions, new hires, restructures, and leadership transitions.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 98, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "people-comms-announce-organizational", "usage_value": { "score": 3, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 4, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.45, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Draft professional internal announcements for organizational and role changes, including promotions, new hires, restructures, and leadership transitions.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "people-comms-engage-internal-community", "disable_model_invocation": false, "source_id": "source-1", "path": "people-comms-engage-internal-community/SKILL.md", "url": null, "plugins": [ "comms" ], "frontmatter": { "name": "people-comms-engage-internal-community", "disable_model_invocation": false, "description": "Draft internal community communications such as 3P updates, newsletters, FAQ responses, and team status reports. Use when you need clear, professional, and audience-aware internal messaging.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "internal comms, team update, 3p update, newsletter, faq response, leadership update", "role": "specialist", "scope": "creation", "output_format": "document", "related_skills": "people-comms-announce-organizational" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 231, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "people-comms-engage-internal-community", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Draft internal community communications such as 3P updates, newsletters, FAQ responses, and team status reports. Use when you need clear, professional, and audience-aware internal messaging.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "personal-design-meeting-background", "disable_model_invocation": false, "source_id": "source-1", "path": "personal-design-meeting-background/SKILL.md", "url": null, "plugins": [ "design" ], "frontmatter": { "name": "personal-design-meeting-background", "disable_model_invocation": false, "description": "Designs a personalized video-call background as a portrait room — a self-portrait built from the real books, places, hobbies, brand marks, and working philosophy of the person it is for, arranged with real architecture (corner geometry, horizontal registers, a bright center anchor) and real light, then written as a dense photorealistic image-generation prompt. Use when asked to \"make me a Zoom background\", \"create a custom Teams background\", \"generate a webcam background\", \"design my virtual office background\", or \"personalize my video call background\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "custom video call background, branded home office background, ai generated office background, swap out my meeting background, personal branding background image, virtual background prompt, portrait room background, conversation starter background", "role": "specialist", "scope": "creation", "output_format": "document", "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 6, "estimated_tokens": 1014, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Designs a personalized video-call background as a portrait room — a self-portrait built from someone''s own books, places, hobbies, brand, and working philosophy, arranged with real architecture (corner geometry, horizontal registers, a bright center anchor) and real light, then written as a dense photorealistic image-generation prompt. Use when asked to \"make me a Zoom background\", \"create a custom Teams background\", \"generate a webcam background\", \"design my virtual office background\", or \"personalize my video call background\".", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "product-discovery-spec-toolkit", "disable_model_invocation": false, "source_id": "source-1", "path": "product-discovery-spec-toolkit/SKILL.md", "url": null, "plugins": [ "product" ], "frontmatter": { "name": "product-discovery-spec-toolkit", "disable_model_invocation": false, "description": "PM toolkit for feature prioritization, customer discovery, and spec writing. Guides RICE scoring, interview insight extraction, and PRD creation. Use when asked to prioritize features, score backlog, analyze customer interviews, write PRDs, plan quarterly roadmaps, or run product discovery workflows.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": ">", "role": "product-manager", "scope": "workflow", "output_format": "document", "related_skills": "data-analysis-business-performance, design-research-ux-researcher, design-research-ux-artifacts" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 1523, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "name": "product-discovery-spec-toolkit", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "PM toolkit for feature prioritization, customer discovery, and spec writing. Guides RICE scoring, interview insight extraction, and PRD creation. Use when asked to prioritize features, score backlog, analyze customer interviews, write PRDs, plan quarterly roadmaps, or run product discovery workflows.", "external_requirements_indicator": "self-contained", "external_requirements": [ "Python 3+" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "product-spec-brainstorming", "disable_model_invocation": true, "source_id": "source-1", "path": "product-spec-brainstorming/SKILL.md", "url": null, "plugins": [ "product" ], "frontmatter": { "name": "product-spec-brainstorming", "disable_model_invocation": true, "description": "Turn a vague idea into a fully-formed, approved design before any implementation begins. Use when the user wants to design a feature, plan what to build, explore approaches before coding, brainstorm a new component or system, think through requirements, or needs to understand constraints before committing to an implementation. Triggers: 'brainstorm', 'design this', 'help me think through', 'plan this feature', 'what should I build', 'let's think about this', 'design a system', 'explore approaches', 'before we code', 'requirements for'.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.0.0", "triggers": "brainstorm, design this, help me think through, plan this feature, what should I build, let's think about this, design a system, explore approaches, before we code, requirements for, spec this out", "role": "specialist", "scope": "design + specification", "output_format": "approved design document saved to docs/plans/", "related_skills": "product-spec-game-changing-features" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 145, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "product-spec-brainstorming", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Turn a vague idea into a fully-formed, approved design before any implementation begins.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "product-spec-game-changing-features", "disable_model_invocation": true, "source_id": "source-1", "path": "product-spec-game-changing-features/SKILL.md", "url": null, "plugins": [ "product" ], "frontmatter": { "name": "product-spec-game-changing-features", "disable_model_invocation": true, "description": "Find 10x product opportunities and write well-defined feature specs that customers will love. Use when defining a new product from scratch, finding game-changing improvements to an existing product, prioritizing what to build next, or turning a vague product idea into a concrete spec. Triggers: '10x feature', 'game-changing', 'what should we build', 'product strategy', 'feature spec', 'what would customers love', 'killer feature', 'product definition', 'what to build next', 'high-impact feature'.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.0.0", "triggers": "10x feature, game-changing feature, what should we build, product strategy, feature spec, killer feature, what would customers love, product definition, what to build next, high-impact feature, product opportunity", "role": "specialist", "scope": "strategic + specification", "output_format": "prioritized feature specs with customer outcomes and success metrics", "related_skills": "design-application-ux, design-research-ux-artifacts, data-analysis-business-performance" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 296, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "product-spec-game-changing-features", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Find 10x product opportunities and write well-defined feature specs that customers will love.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "product-spec-prd-generator", "disable_model_invocation": true, "source_id": "source-1", "path": "product-spec-prd-generator/SKILL.md", "url": null, "plugins": [ "product" ], "frontmatter": { "name": "product-spec-prd-generator", "disable_model_invocation": true, "description": "Generates professional PRD (Product Requirements Document) files using expert product management practices. Takes a rough product idea, asks clarifying questions, and outputs a structured Markdown document ready to feed into AI coding assistants or share with stakeholders.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 1365, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "product-spec-prd-generator", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 4, "audience_breadth": 2, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.5, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Generates professional PRD (Product Requirements Document) files using expert product management practices.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "product-spec-reverse-engineer", "disable_model_invocation": true, "source_id": "source-1", "path": "product-spec-reverse-engineer/SKILL.md", "url": null, "plugins": [ "product" ], "frontmatter": { "name": "product-spec-reverse-engineer", "disable_model_invocation": true, "description": "Performs a thorough review of an existing project and produces a product overview, functional specification, and technical design document suitable for greenfield rebuilding. Use when asked to \"reverse engineer a project\", \"document a codebase\", \"create technical documentation from code\", \"extract architecture from a project\", \"create a functional spec from existing code\", \"document system design\", \"create a product overview\", or when the goal is to produce product-agnostic documentation that captures what a system does and how it is built.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.0.0", "triggers": "reverse engineer, document project, extract architecture, functional spec, technical design, system documentation, greenfield documentation, codebase review, product documentation, product overview", "role": "architect", "scope": "analysis", "output_format": "report", "related_skills": "product-spec-prd-generator, engineering-dev-writing-plans, ops-process-sop-creator" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": true, "has_assets": false, "has_license_file": false, "file_count": 9, "estimated_tokens": 1157, "complexity_class": "detailed", "skill_pattern": "C" }, "evaluation": { "name": "product-spec-reverse-engineer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Performs a thorough review of an existing project and produces a product overview, functional specification, and technical design document suitable for greenfield rebuilding.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "product-strategy-habit-loops", "disable_model_invocation": false, "source_id": "source-1", "path": "product-strategy-habit-loops/SKILL.md", "url": null, "plugins": [ "product" ], "frontmatter": { "name": "product-strategy-habit-loops", "disable_model_invocation": false, "description": "Design habit-forming product loops with Nir Eyal's Hook Model — trigger → action → variable reward → investment — moving users from external prompts to internal triggers, and stress-test the ethics with the Manipulation Matrix. Use for \"users aren't coming back\", \"build an engagement/retention loop\", \"habit formation\", \"variable rewards\", or \"why won't this product stick\". For single-interaction feedback choreography, defer to design-ui-microinteractions.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "users arent coming back, design an engagement loop, build a retention habit, add variable rewards, move users to internal triggers, is this engagement ethical, why wont this product stick", "role": "product-strategist", "scope": "engagement", "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 8, "estimated_tokens": 591, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Design habit-forming product loops with Nir Eyal's Hook Model — trigger → action → variable reward → investment — moving users from external prompts to internal triggers, and stress-test the ethics with the Manipulation Matrix. Use for \"users aren't coming back\", \"build an engagement/retention loop\", \"habit formation\", \"variable rewards\", or \"why won't this product stick\". For single-interaction feedback choreography, defer to design-ui-microinteractions.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "product-strategy-okr-specialist", "disable_model_invocation": false, "source_id": "source-1", "path": "product-strategy-okr-specialist/SKILL.md", "url": null, "plugins": [ "product" ], "frontmatter": { "name": "product-strategy-okr-specialist", "disable_model_invocation": false, "description": "Build traceable OKR cascades from company strategy through product and team goals, including alignment scoring and contribution targets. Use when asked to \"cascade company OKRs\", \"align team goals\", \"score OKR alignment\", or \"plan quarterly objectives\". Not for standalone KPI contracts or performance analysis.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "translate strategy to objectives, create product key results, distribute team contributions, map parent child goals, balance team objective load, generate goal cascade dashboard, link company and product goals, audit quarterly goal coverage", "role": "product-strategist", "scope": "planning", "output_format": "document", "related_skills": "data-analysis-kpi-designer, data-analysis-business-performance" } }, "structure": { "has_scripts": true, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 906, "complexity_class": "detailed", "skill_pattern": "B" }, "evaluation": { "name": "product-strategy-okr-specialist", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "OKR cascade architect and metrics strategist for product leaders. Translates company strategy into aligned, measurable OKRs across company, product, and team levels.", "external_requirements_indicator": "self-contained", "external_requirements": [ "Python 3+" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "product-strategy-validator", "disable_model_invocation": true, "source_id": "source-1", "path": "product-strategy-validator/SKILL.md", "url": null, "plugins": [ "product" ], "frontmatter": { "name": "product-strategy-validator", "disable_model_invocation": true, "description": "Validates product direction before implementation begins. Use when asked to validate a feature idea, run a product diagnostic, check if you're building the right thing, prioritize features, run a founder review, audit user onboarding, pressure-test product direction, score product-market fit signals, or when a user says \"should I build this\", \"help me prioritize\", \"review my product\", \"validate my idea\", \"user journey audit\", \"feature prioritization\", \"ICE scoring\", or \"am I building the right thing\". Do not use for writing specs or PRDs — hand off to product-spec-prd-generator for those.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "validate idea, should I build this, product diagnostic, feature prioritization, ICE scoring, founder review, user journey audit, product-market fit, pressure-test product, prioritize features, review my product, am I building the right thing", "role": "specialist", "scope": "analysis", "output_format": "document", "related_skills": "product-spec-brainstorming, product-spec-prd-generator" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 193, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "product-strategy-validator", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Validates product direction before implementation begins.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "product-vision-strategy", "disable_model_invocation": false, "source_id": "source-1", "path": "product-vision-strategy/SKILL.md", "url": null, "plugins": [ "product" ], "frontmatter": { "name": "product-vision-strategy", "disable_model_invocation": false, "description": "Product vision and strategy architect for product leaders. Applies structured frameworks — JTBD, North Star, Horizon Model, Opportunity Solution Tree, Wardley Mapping, and more — to define product direction, validate strategic bets, and align teams. Use when setting product vision, running strategy workshops, choosing a strategic framework, mapping customer jobs-to-be-done, identifying innovation horizons, building opportunity trees, prioritizing strategic bets, or pressure-testing a product direction.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "product vision, product strategy, jobs to be done, jtbd, north star metric, north star framework, horizon model, horizon planning, opportunity solution tree, wardley map, strategic framework, product direction, vision setting, strategy workshop, strategic bets, product positioning, long-term roadmap, where to play, how to win, product differentiation, vision statement, mission alignment", "role": "product-strategist", "scope": "design", "output_format": "document", "related_skills": "product-strategy-okr-specialist, design-system-architect" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 231, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "product-vision-strategy", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Product vision and strategy architect for product leaders.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "productivity-daily-meeting-notes", "disable_model_invocation": false, "source_id": "source-1", "path": "productivity-daily-meeting-notes/SKILL.md", "url": null, "plugins": [ "ops" ], "frontmatter": { "name": "productivity-daily-meeting-notes", "disable_model_invocation": false, "description": "Create comprehensive meeting minutes from provided meeting details, notes, transcripts, or rough summaries. Use when the user needs structured meeting minutes, board meeting notes, stakeholder updates, project meeting summaries, decision logs, action-item tracking, or when asked to recap a standup, document a retrospective, or summarize any structured discussion.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "meeting notes, meeting minutes, minutes, action items, decision log, meeting summary, recap, board minutes, standup notes", "role": "specialist", "scope": "writing", "output_format": "document", "related_skills": "content-technical-doc-coauthoring, ops-process-sop-creator, people-comms-announce-organizational" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 321, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "productivity-daily-meeting-notes", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Create comprehensive meeting minutes from provided meeting details, notes, transcripts, or rough summaries.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "research-ai-landscape-brief", "disable_model_invocation": false, "source_id": "source-1", "path": "research-ai-landscape-brief/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-ai-landscape-brief", "disable_model_invocation": false, "description": "Produce a deep 30-day AI landscape brief that combines GitHub velocity, arXiv preprints, social signals, and web reporting into one strategic view. Use when asked for 'AI landscape brief', 'AI monthly brief', 'AI research briefing', 'frontier AI update', 'AI ecosystem roundup', or 'AI trends this month' rather than a short daily or weekly news digest.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "AI landscape brief, AI monthly brief, AI research briefing, frontier AI update, AI ecosystem roundup, AI trends this month, AI intelligence report, trending AI repos, AI preprint roundup", "role": "analyst", "scope": "research", "output_format": "report", "related_skills": "research-weekly-ai-news, research-market-analyst, research-analyst" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 13, "estimated_tokens": 2584, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "name": "research-ai-landscape-brief", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "high", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets", "Makes outbound network calls", "Uses install commands" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 3, "untrusted_communication": 2 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Produce a deep 30-day AI landscape brief that combines GitHub velocity, arXiv preprints, social signals, and web reporting into one strategic view.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "External APIs or services", "Package installation", "Python 3+" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "research-analyst", "disable_model_invocation": false, "source_id": "source-1", "path": "research-analyst/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-analyst", "disable_model_invocation": false, "description": "Research and summarize recent news, announcements, and press for a user-specified topic, company, or industry when no domain-specific briefing skill fits better. Use when asked for 'news about [topic]', 'what's happening in [industry]', 'competitor news', 'recent developments in [area]', 'press coverage', or 'latest announcements from [company]' rather than an AI-only digest, insurance landscape brief, or strategy memo.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "news about a topic, what's happening in an industry, competitor news, recent developments, press coverage, latest announcements from a company, current events research, industry news briefing", "role": "analyst", "scope": "research", "output_format": "report", "related_skills": "research-ai-landscape-brief, research-dtc-insurance-market-intelligence, research-weekly-ai-news, research-market-analyst, research-market-competitor-intel" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 893, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "research-analyst", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Research and summarize recent news, announcements, and press for a user-specified topic, company, or industry when no domain-specific briefing skill fits better.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "research-deep-reading-analyst", "disable_model_invocation": false, "source_id": "source-1", "path": "research-deep-reading-analyst/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-deep-reading-analyst", "disable_model_invocation": false, "description": "Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical applications, or (7) apply specific thinking frameworks. Triggered by phrases like 'analyze this article,' 'help me understand,' 'deep dive into,' 'extract insights from,' 'deep read,' 'use [framework name],' 'research-deep-reading-analyst,' or when users provide URLs/long-form content for analysis.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "analyze this article, deep dive, extract insights, help me understand, deep read, critical analysis, SCQA, mental models, inversion, first principles, systems thinking, six hats, research-deep-reading-analyst, thinking frameworks", "role": "specialist", "scope": "analysis", "output_format": "structured report", "related_skills": "research-market-analyst, strategy-frameworks-mckinsey-brief" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 11, "estimated_tokens": 4573, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "research-deep-reading-analyst", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats).", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "research-dtc-insurance-market-intelligence", "disable_model_invocation": false, "source_id": "source-1", "path": "research-dtc-insurance-market-intelligence/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-dtc-insurance-market-intelligence", "disable_model_invocation": false, "description": "Track DTC life insurance market intelligence across carrier moves, distribution shifts, regulation, funding, and consumer signal over weekly, monthly, or quarterly windows. Use when asked for 'life insurance market intelligence', 'DTC insurance monitoring', 'insurance market watch', 'carrier movement tracking', or 'insurtech signal report' rather than generic news monitoring or AI research.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "life insurance market intelligence, DTC insurance monitoring, insurance market watch, carrier movement tracking, insurtech signal report, insurance regulation tracking, LIMRA signal watch, direct insurance market monitoring", "role": "analyst", "scope": "research", "output_format": "report", "related_skills": "research-ai-landscape-brief, research-market-analyst, research-analyst" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 1768, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "research-dtc-insurance-market-intelligence", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Track DTC life insurance market intelligence across carrier moves, distribution shifts, regulation, funding, and consumer signal over weekly, monthly, or quarterly windows.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "research-market-analyst", "disable_model_invocation": false, "source_id": "source-1", "path": "research-market-analyst/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-market-analyst", "disable_model_invocation": false, "description": "Score competitive, technology, and market signals to produce strategic intelligence with confidence, impact, threats, and opportunities. Use when asked for \"competitive analysis\", \"threat assessment\", \"opportunity scoring\", \"signal classification\", \"strategic intelligence\", or a decision-oriented competitor brief rather than a simple news roundup or TAM/SAM/SOM study.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "competitive analysis, threat assessment, opportunity scoring, signal classification, strategic intelligence, competitor threat analysis, technology signal assessment, industry intelligence, strategic briefing", "role": "analyst", "scope": "analysis", "output_format": "report", "related_skills": "research-market-researcher, research-analyst, research-ai-landscape-brief, marketing-intel-customer-segmentation, research-market-competitor-intel" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 170, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "research-market-analyst", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Score competitive, technology, and market signals to produce strategic intelligence with confidence, impact, threats, and opportunities.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "research-market-competitor-intel", "disable_model_invocation": false, "source_id": "source-1", "path": "research-market-competitor-intel/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-market-competitor-intel", "disable_model_invocation": false, "description": "Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Use when user needs competitive intelligence, competitor analysis, market positioning insights, or strategic leverage opportunities.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 405, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "research-market-competitor-intel", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "research-market-opportunity", "disable_model_invocation": false, "source_id": "source-1", "path": "research-market-opportunity/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-market-opportunity", "disable_model_invocation": false, "description": "Discover distinctive software and embedded-tech business opportunities from current signals, underserved needs, and platform shifts. Use when asked to \"find startup ideas\", \"research new opportunities\", \"identify software business ideas\", \"spot emerging markets\", or \"create venture ideas\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "discover venture opportunities, map underserved problems, mine platform shifts, generate tech business concepts, scout ESP32 ideas, find niche SaaS wedges, research embedded software markets, create opportunity briefs", "role": "analyst", "scope": "research", "output_format": "report", "related_skills": "strategy-planning-opportunity, research-market-researcher, research-market-analyst, research-weekly-ai-news, product-strategy-validator" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 760, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Discover distinctive software and embedded-tech business opportunities from current signals, underserved needs, and platform shifts. Use when asked to \"find startup ideas\", \"research new opportunities\", \"identify software business ideas\", \"spot emerging markets\", or \"create venture ideas\".", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "research-market-persona-builder", "disable_model_invocation": true, "source_id": "source-1", "path": "research-market-persona-builder/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-market-persona-builder", "disable_model_invocation": true, "description": "Creates research-grounded digital twin personas of real people that function as AI-powered strategic advisors, mentors, and reviewers. Use when asked to \"create a digital twin\", \"build an advisor persona\", \"simulate how [person] would advise\", \"make an AI mentor\", \"create an AI version of [person]\", \"build a review persona based on [person]\", \"set up a decision advisor\", \"replicate how [person] thinks\", or when the user wants to consult a specific expert, mentor, or historical figure as an AI-powered persona. Also triggers for \"think like [person]\", \"advise like [person]\", \"what would [person] say about this\", \"review this like [person] would\", \"channel [person]\", or \"act as my [person] advisor\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "digital twin, advisor persona, mentor persona, simulate person, build persona, strategic advisor, decision advisor, AI mentor, review persona, think like, advise like, how would X advise, digital twin persona, personal advisor AI, replicate thinking, channel expert", "role": "persona-architect", "scope": "design", "output_format": "document", "related_skills": "agents-design-persona-creator, research-market-analyst, productivity-personal-communication-style" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 1043, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "research-market-persona-builder", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Creates research-grounded digital twin personas of real people that function as AI-powered strategic advisors, mentors, and reviewers.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "research-market-researcher", "disable_model_invocation": false, "source_id": "source-1", "path": "research-market-researcher/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-market-researcher", "disable_model_invocation": false, "description": "Produce decision-ready market research with explicit assumptions, sizing logic, diligence, and recommendation-oriented synthesis. Use when asked to \"size a market\", \"compare competitors\", \"evaluate an investor\", \"research a vendor\", \"assess industry trends\", or pressure-test a business thesis rather than summarize headlines or score strategic signals.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 310, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "research-market-researcher", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Produce decision-ready market research with explicit assumptions, sizing logic, diligence, and recommendation-oriented synthesis.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "research-weekly-ai-news", "disable_model_invocation": false, "source_id": "source-1", "path": "research-weekly-ai-news/SKILL.md", "url": null, "plugins": [ "research" ], "frontmatter": { "name": "research-weekly-ai-news", "disable_model_invocation": false, "description": "Aggregate the latest AI headlines into a concise daily or weekly digest with direct source links and light categorization. Use when asked for 'weekly AI news', 'AI updates this week', 'daily AI briefing', 'AI headlines', 'AI news digest', or 'latest AI developments' rather than a deeper monthly landscape or strategy report.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "weekly AI news, AI updates this week, daily AI briefing, AI news digest, AI headlines, latest AI developments, AI announcements roundup, AI recap", "role": "specialist", "scope": "research", "output_format": "structured-report", "related_skills": "research-ai-landscape-brief, research-analyst, research-market-analyst" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 1938, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "research-weekly-ai-news", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.7, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Aggregate the latest AI headlines into a concise daily or weekly digest with direct source links and light categorization.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "sales-outreach-specialist", "disable_model_invocation": false, "source_id": "source-1", "path": "sales-outreach-specialist/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "sales-outreach-specialist", "disable_model_invocation": false, "description": "Crafts high-converting outreach messages and email sequences for cold outreach, LinkedIn DMs, and follow-ups. Use when user needs personalized outreach messages that book calls and get replies.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 3, "estimated_tokens": 1014, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "sales-outreach-specialist", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 2, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.5, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Crafts high-converting outreach messages and email sequences for cold outreach, LinkedIn DMs, and follow-ups. Use when user needs personalized outreach messages that book calls and get replies.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "sales-pipeline-revops", "disable_model_invocation": false, "source_id": "source-1", "path": "sales-pipeline-revops/SKILL.md", "url": null, "plugins": [ "marketing" ], "frontmatter": { "name": "sales-pipeline-revops", "disable_model_invocation": false, "description": "Use when user wants help with revenue operations, lead lifecycle, MQL/SQL definitions, lead scoring, lead routing, pipeline stages, deal desk, CRM automation, or data hygiene. Triggers: \"RevOps\", \"revenue operations\", \"lead scoring\", \"lead routing\", \"MQL\", \"SQL\", \"pipeline stages\", \"deal desk\", \"CRM automation\", \"marketing-to-sales handoff\", \"speed-to-lead\", \"leads not reaching sales\", \"pipeline health\", \"CRM workflows\", \"lead qualification\", \"when should marketing hand off to sales\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "revops, revenue operations, lead scoring, lead routing, MQL, SQL, pipeline stages, deal desk, CRM automation, marketing to sales handoff, speed to lead, data hygiene, pipeline management, lead qualification, lifecycle stages, CRM workflows", "role": "revenue-operations-architect", "scope": "gtm", "output_format": "structured-documents", "related_skills": "content-copy-email-sequences, data-analysis-business-performance, sales-pipeline" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 5, "estimated_tokens": 1683, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "sales-pipeline-revops", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Use when user wants help with revenue operations, lead lifecycle, MQL/SQL definitions, lead scoring, lead routing, pipeline stages, deal desk, CRM automation, or data hygiene. Triggers: \"RevOps\", \"revenue operations\", \"lead scoring\", \"lead routing\", \"MQL\", \"SQL\", \"pipeline stages\", \"deal desk\", \"CRM automation\", \"marketing-to-sales handoff\", \"speed-to-lead\", \"leads not reaching sales\", \"pipeline health\", \"CRM workflows\", \"lead qualification\", \"when should marketing hand off to sales\".", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "skill-architect", "disable_model_invocation": false, "source_id": "source-1", "path": "skill-architect/SKILL.md", "url": null, "plugins": [ "skills" ], "frontmatter": { "name": "skill-architect", "disable_model_invocation": false, "description": "Full lifecycle management for Agent Skills — scaffold a new skill, review an existing SKILL.md for spec compliance and routing quality, or refine metadata. Use when asked to \"create a skill\", \"build a skill\", \"scaffold a skill\", \"review a skill\", \"audit a skill\", \"improve a skill\", \"optimize skill triggers\", \"fix skill description\", or \"update skill frontmatter\". Covers archetype classification, description and trigger optimization, collision detection against neighbor skills, and metadata routing. Use whenever the user is authoring or editing a SKILL.md file.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "create skill, review skill, audit skill, scaffold skill, optimize skill triggers, fix skill description, refine skill metadata, update skill frontmatter, validate SKILL.md, skill collision check", "role": "skill-architect", "scope": "design", "output_format": "specification", "related_skills": "skill-evaluator" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": true, "has_assets": false, "has_license_file": false, "file_count": 17, "estimated_tokens": 3703, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Full lifecycle management for Agent Skills — scaffold a new skill, review an existing SKILL.md for spec compliance and routing quality, or refine metadata. Use when asked to \"create a skill\", \"build a skill\", \"scaffold a skill\", \"review a skill\", \"audit a skill\", \"improve a skill\", \"optimize skill triggers\", \"fix skill description\", or \"update skill frontmatter\". Covers archetype classification, description and trigger optimization, collision detection against neighbor skills, and metadata routing. Use whenever the user is authoring or editing a SKILL.md file.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "skill-evaluator", "disable_model_invocation": false, "source_id": "source-1", "path": "skill-evaluator/SKILL.md", "url": null, "plugins": [ "skills" ], "frontmatter": { "name": "skill-evaluator", "disable_model_invocation": false, "description": "Run structured evaluation cycles against an Agent Skill — design test cases, compare with-skill vs without-skill runs, write assertions, grade outputs with evidence, aggregate pass rates, and iterate. Use when asked to \"evaluate a skill\", \"test a skill with evals\", \"benchmark a skill\", \"run skill evals\", \"grade skill output\", \"write assertions for a skill\", or \"iterate on a skill using eval results\". Also covers routing-quality evals: invocability, collision against neighbor skills, over-specification risk.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.1.0", "triggers": "evaluate skill, run skill evals, benchmark skill, grade skill output, write skill assertions, compare skill vs baseline, iterate on skill evals, test skill invocability, check skill collision", "role": "evaluation-engineer", "scope": "analysis", "output_format": "report", "related_skills": "skill-architect" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": true, "has_assets": false, "has_license_file": false, "file_count": 8, "estimated_tokens": 1786, "complexity_class": "detailed", "skill_pattern": "B" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Run structured evaluation cycles against an Agent Skill — design test cases, compare with-skill vs without-skill runs, write assertions, grade outputs with evidence, aggregate pass rates, and iterate. Use when asked to \"evaluate a skill\", \"test a skill with evals\", \"benchmark a skill\", \"run skill evals\", \"grade skill output\", \"write assertions for a skill\", or \"iterate on a skill using eval results\". Also covers routing-quality evals: invocability, collision against neighbor skills, over-specification risk.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "skill-evaluator-catalog-builder", "disable_model_invocation": true, "source_id": "source-1", "path": "skill-evaluator-catalog-builder/SKILL.md", "url": null, "plugins": [ "skills" ], "frontmatter": { "name": "skill-evaluator-catalog-builder", "disable_model_invocation": true, "description": "Scan, evaluate, and catalog large collections of agent skills into a structured JSON file. Use when asked to \"catalog skills\", \"evaluate a skill collection\", \"review a skill repository\", \"audit skill quality\", \"scan skills folder\", \"build a skill inventory\", \"compare skill libraries\", or when working with agent skill repositories like openclaw/skills or any collection following the Agent Skills specification (https://agentskills.io/specification). Handles massive repositories efficiently by scripting mechanical extraction and reserving LLM reasoning for qualitative evaluation.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "catalog skills, evaluate skills, scan skills, skill inventory, skill audit, skill collection review, skill repository, skill library, openclaw skills, skill quality report", "role": "research-analyst", "scope": "analysis", "output_format": "report", "related_skills": "skill-architect, skill-evaluator" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": true, "has_license_file": false, "file_count": 10, "estimated_tokens": 3396, "complexity_class": "comprehensive", "skill_pattern": "B" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "high", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets", "Makes outbound network calls", "Uses execution patterns" ] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Scan, evaluate, and catalog large collections of agent skills into a structured JSON file. Use when asked to \"catalog skills\", \"evaluate a skill collection\", \"review a skill repository\", \"audit skill quality\", \"scan skills folder\", \"build a skill inventory\", \"compare skill libraries\", or when working with agent skill repositories like openclaw/skills or any collection following the Agent Skills specification (https://agentskills.io/specification). Handles massive repositories efficiently by scripting mechanical extraction and reserving LLM reasoning for qualitative evaluation.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "skill-reinterpreter", "disable_model_invocation": true, "source_id": "source-1", "path": "skill-reinterpreter/SKILL.md", "url": null, "plugins": [ "skills" ], "frontmatter": { "name": "skill-reinterpreter", "disable_model_invocation": true, "description": "Rebuild an existing Agent Skill from scratch in a new folder while preserving intent and outcomes, then delete the original. Use when asked to \"reinterpret a skill\", \"clone and improve a skill\", \"rebuild a skill from scratch\", \"refresh a skill with current best practices\", or \"replace a skill with a new version\". Distinct from skill-architect (which edits in place) and skill-evaluator (which tests) — this skill creates a new folder, fully rewrites every file including references and scripts, then removes the source.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.2.0", "triggers": "reinterpret skill, rebuild skill from scratch, clone and improve skill, replace skill with new version, refresh skill with best practices, delete original skill after rewrite", "role": "architect", "scope": "design", "output_format": "specification", "related_skills": "skill-architect, content-copy-caveman" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 409, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Rebuild an existing Agent Skill from scratch in a new folder while preserving intent and outcomes, then delete the original. Use when asked to \"reinterpret a skill\", \"clone and improve a skill\", \"rebuild a skill from scratch\", \"refresh a skill with current best practices\", or \"replace a skill with a new version\". Distinct from skill-architect (which edits in place) and skill-evaluator (which tests) — this skill creates a new folder, fully rewrites every file including references and scripts, then removes the source.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "strategy-change-management", "disable_model_invocation": false, "source_id": "source-1", "path": "strategy-change-management/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-change-management", "disable_model_invocation": false, "description": "Plan and execute organizational change initiatives affecting people, processes, and technology using structured, human-centric frameworks. Use when asked to \"manage change\", \"plan a change initiative\", \"change management plan\", \"organizational transformation\", \"digital transformation\", \"culture change\", \"process change\", \"technology adoption\", \"stakeholder engagement plan\", \"resistance management\", \"change readiness assessment\", \"communication plan for change\", \"training plan for rollout\", \"change impact analysis\", \"mindset transformation\", \"organizational restructuring\", or when needing to drive adoption, reduce resistance, or ensure smooth transitions for any initiative that disrupts how people work.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "change management, organizational change, transformation, adoption, resistance, stakeholder engagement, change readiness, communication plan, training rollout, culture change, process change, technology change", "role": "strategist", "scope": "design", "output_format": "document", "related_skills": "marketing-intel-customer-segmentation, marketing-campaign-go-to-market, people-comms-announce-organizational" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 2343, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "strategy-change-management", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Plan and execute organizational change initiatives affecting people, processes, and technology using structured, human-centric frameworks.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "strategy-critical-reasoning", "disable_model_invocation": true, "source_id": "source-1", "path": "strategy-critical-reasoning/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-critical-reasoning", "disable_model_invocation": true, "description": "Challenges ideas, plans, decisions, and proposals using 5 structured reasoning modes. Use when stress-testing a strategy, running a pre-mortem, red teaming, playing devil's advocate, auditing evidence, or pressure-testing assumptions before committing. Triggers: challenge this, stress test, poke holes, what could go wrong, red team, pre-mortem, devil's advocate, test my assumptions, argue against this, am I missing something.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "2.0.0", "triggers": "challenge this, stress test, poke holes, what could go wrong, red team, pre-mortem, devil's advocate, test my assumptions, argue against this, am I missing something, find the flaws, audit evidence, play devil's advocate, question assumptions", "role": "expert", "scope": "review", "output_format": "report", "related_skills": "product-strategy-validator, product-spec-brainstorming, strategy-frameworks-mckinsey-brief" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 7, "estimated_tokens": 1219, "complexity_class": "comprehensive", "skill_pattern": "A" }, "evaluation": { "name": "strategy-critical-reasoning", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Challenges ideas, plans, decisions, and proposals using 5 structured reasoning modes.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "strategy-decision", "disable_model_invocation": true, "source_id": "source-1", "path": "strategy-decision/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-decision", "disable_model_invocation": true, "description": "A supportive, challenging thinking partner for someone stuck trying to deliver a specific thing. It interviews, pressure-tests assumptions, and reframes the problem until the user has a feasible path forward, then exits with a concrete plan. Use when someone says \"I am trying to do X but I am stuck\", \"I cannot get this to work\", \"help me think through a problem\", \"how do I get unstuck on\", \"I keep hitting a wall with\", or \"challenge my thinking on\". For a person who already knows what they want to deliver and needs to reach it, not for open-ended ideation from a blank page.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "I am stuck on, help me get unstuck, cannot get this to work, challenge my thinking, reframe this problem, work through a problem with me, keep hitting a wall, is this even feasible", "role": "expert", "scope": "analysis", "output_format": "document", "related_skills": "strategy-change-management, product-management:product-brainstorming" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 354, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "A supportive, challenging thinking partner for someone stuck trying to deliver a specific thing. It interviews, pressure-tests assumptions, and reframes the problem until the user has a feasible path forward, then exits with a concrete plan. Use when someone says \"I am trying to do X but I am stuck\", \"I cannot get this to work\", \"help me think through a problem\", \"how do I get unstuck on\", \"I keep hitting a wall with\", or \"challenge my thinking on\". For a person who already knows what they want to deliver and needs to reach it, not for open-ended ideation from a blank page.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "strategy-decision-council", "disable_model_invocation": true, "source_id": "source-1", "path": "strategy-decision-council/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-decision-council", "disable_model_invocation": true, "description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing. Trigger when a user says \"help me decide\", \"second opinion\", \"what would you choose\", \"should I\", \"go/no-go\", \"multiple perspectives\", \"I'm torn between\", \"tradeoff analysis\", or when facing decisions like monorepo vs polyrepo, ship now vs hold, or scope vs speed tradeoffs.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "help me decide, second opinion, what would you choose, should I, go/no-go, I'm torn between, tradeoff analysis, multiple perspectives, ambiguous decision, decision council, dissent, ship now or hold", "role": "specialist", "scope": "analysis", "output_format": "report", "related_skills": "strategy-critical-reasoning, strategy-frameworks-mckinsey-brief, product-strategy-validator" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 293, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "strategy-decision-council", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "strategy-decision-documenter", "disable_model_invocation": true, "source_id": "source-1", "path": "strategy-decision-documenter/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-decision-documenter", "disable_model_invocation": true, "description": "Runs one-question plan interrogation tied to project language docs and decision records. Use when asked \"grill this with docs\", \"stress-test against CONTEXT.md\", \"update ADRs as we decide\", or \"challenge my plan against the glossary\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "reconcile domain terms, capture architecture decision, document resolved ambiguity, test plan against glossary, record tradeoff outcome, probe context mismatch", "role": "specialist", "scope": "design", "output_format": "document", "related_skills": "strategy-decision-interrogator, strategy-critical-reasoning, engineering-arch-architecture-decision-records, product-spec-brainstorming" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 3, "estimated_tokens": 382, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Addresses a practical workflow with solid reuse beyond a single project. Pairing live interrogation with real-time CONTEXT.md and ADR updates is a genuine productivity multiplier for design teams." }, "security_risk": { "rating": "low", "rationale": "Pure instruction-led skill. No scripts, no external URLs, no credential references.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 5, "usability": 4, "rationale": "Clear five-step workflow with specific turn patterns. Minor interpretation required for context-doc location heuristics." }, "invocability": { "score": 4, "rationale": "Triggers and description are specific; name could overlap with general documentation skills but anti-triggers and priority field mitigate collision." }, "over_specification_risk": { "flagged": false, "rationale": "Workflow is framed as reusable guidance; no hardcoded paths or project-specific assumptions." }, "core_capabilities": "strategy-decision-documenter is an instruction-led skill. Combines Socratic plan interrogation with real-time documentation edits — grilling one question per turn while updating CONTEXT.md, CONTEXT-MAP.md, and ADRs whenever terms or decisions resolve. Primary output: sharpened domain vocabulary and durable decision records.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "strategy-decision-interrogator", "disable_model_invocation": true, "source_id": "source-1", "path": "strategy-decision-interrogator/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-decision-interrogator", "disable_model_invocation": true, "description": "Runs live sequential interrogation of a plan or design: exactly one high-leverage question per assistant turn, with recommended answer. Use when asked \"grill me\", \"ask one at a time\", \"walk the decision tree\", or \"question my plan\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "ask one question, probe plan gaps, resolve design branch, test proposal dependency, challenge rollout choice, interrogate implementation plan, pressure-check architecture call, grill me", "role": "specialist", "scope": "design", "output_format": "document", "related_skills": "strategy-critical-reasoning, strategy-decision-council, product-spec-brainstorming, grill-with-docs" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 157, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Highly useful for design and planning sessions. The one-question-at-a-time Socratic pattern is a real workflow enhancer with broad appeal across tech and strategy teams." }, "security_risk": { "rating": "low", "rationale": "Pure instruction-led skill. No scripts, no external URLs, no credential references.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 4, "completeness": 4, "determinism": 4, "consistency": 5, "usability": 4, "rationale": "Workflow is clear and well-structured. Compact skill by design — no references needed." }, "invocability": { "score": 5, "rationale": "Triggers like 'grill me' and 'ask one at a time' are distinctive; strong anti-triggers prevent doc-editing collision." }, "over_specification_risk": { "flagged": false, "rationale": "Workflow is fully generic — no project-specific assumptions." }, "core_capabilities": "strategy-decision-interrogator is an instruction-led skill. Runs live, dependency-ordered Socratic interrogation of plans and designs — one precise question per turn with a recommended answer and rationale, narrowing ambiguity through sequential branch resolution. Primary output: a clarified decision tree with resolved branches and locked choices.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "strategy-exec-presentation-designer", "disable_model_invocation": false, "source_id": "source-1", "path": "strategy-exec-presentation-designer/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-exec-presentation-designer", "disable_model_invocation": false, "description": "Design structured executive presentation outlines that drive engagement, alignment, decisions, and follow-up. Use when asked to \"create a presentation\", \"build an exec deck\", \"prepare for a leadership meeting\", \"design a steering committee presentation\", \"structure a decision meeting\", \"plan an executive briefing\", \"outline a progress review\", \"prepare a readout\", or when needing to organize any internal presentation for a leadership or executive audience — whether the goal is information sharing, progress updates, research findings, decisions, or a hybrid of objectives.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "executive presentation, leadership meeting, steering committee, exec briefing, decision meeting, progress review, readout, deck outline, presentation structure, exec deck", "role": "strategist", "scope": "design", "output_format": "document", "related_skills": "strategy-frameworks-mckinsey-brief, people-comms-announce-organizational, content-technical-doc-coauthoring" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 1043, "complexity_class": "detailed", "skill_pattern": "A" }, "evaluation": { "name": "strategy-exec-presentation-designer", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "medium", "rationale": "Evaluated from scanner signals.", "findings": [ "References credentials/secrets" ], "sub_scores": { "data_privacy": 3, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 4, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 3, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Design structured executive presentation outlines that drive engagement, alignment, decisions, and follow-up.", "external_requirements_indicator": "has-external-dependencies", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "strategy-frameworks-mckinsey-brief", "disable_model_invocation": false, "source_id": "source-1", "path": "strategy-frameworks-mckinsey-brief/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-frameworks-mckinsey-brief", "disable_model_invocation": false, "description": "Build executive-ready, board-level strategic problem-solving briefs using SCQ, MECE issue trees, hypothesis-driven analysis, and pyramid-structured recommendations. Use when asked for McKinsey-style strategy memos, root-cause diagnostics, turnaround plans, market-entry decisions, profitability fixes, steering committee briefs, or implementation roadmaps for complex business problems.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 278, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "strategy-frameworks-mckinsey-brief", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 4.15, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Build executive-ready, board-level strategic problem-solving briefs using SCQ, MECE issue trees, hypothesis-driven analysis, and pyramid-structured recommendations.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "strategy-innovation-catalyst", "disable_model_invocation": false, "source_id": "source-1", "path": "strategy-innovation-catalyst/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-innovation-catalyst", "disable_model_invocation": false, "description": "Cross-domain innovation engine — extracts structural patterns from existing ideas and technologies and transplants them into new domains to generate novel, feasibility-assessed concept cards. Use when asked to \"innovate in\", \"invent something for\", \"apply X to Y\", \"cross-domain ideas\", \"what if we combined\", \"novel application of\", \"generate innovation ideas\", or \"think like an innovator\". Distinct from brainstorming: produces structured concept cards with stress testing, not raw idea lists.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "generate innovation ideas, cross-domain innovation, invent something for, apply concept to new domain, novel application of existing technology, think like an innovator, what if we combined, innovate in, cross-pollinate ideas, recombine technologies", "role": "specialist", "scope": "design", "output_format": "document", "related_skills": "design-product-overview-builder, product-spec-brainstorming, strategy-decision-interrogator, product-spec-game-changing-features" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 404, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 4, "capability_gap": 3, "actionability": 4, "reusability": 3 }, "weighted_score": 3.9, "domain_calibration_bonus": 0.0, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Cross-domain innovation engine — extracts structural patterns from existing ideas and technologies and transplants them into new domains to generate novel, feasibility-assessed concept cards. Use when asked to \"innovate in\", \"invent something for\", \"apply X to Y\", \"cross-domain ideas\", \"what if we combined\", \"novel application of\", \"generate innovation ideas\", or \"think like an innovator\". Distinct from brainstorming: produces structured concept cards with stress testing, not raw idea lists.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "strategy-outcome-design", "disable_model_invocation": false, "source_id": "source-1", "path": "strategy-outcome-design/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-outcome-design", "disable_model_invocation": false, "description": "Use this skill when a user wants to clarify, pressure-test, or work backward from a goal, ambition, initiative, decision, or proposed solution before planning or execution. It defines the desired outcome, success evidence, current state, constraints, assumptions, alternatives, causal path, feasibility, risks, and next design artifact, then produces a reviewable Solution Brief. Trigger for vague goals, solution-first requests, \"help me think this through,\" goal feasibility, success criteria, or outcome-oriented design. Do not use for straightforward execution of an already-defined plan or simple factual questions.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.3.0", "triggers": "clarify a goal, pressure-test a goal, work backward from an outcome, define success criteria, is this goal feasible, help me think this through, separate the outcome from the solution, design backward from the outcome, outcome-oriented design", "role": "expert", "scope": "design", "output_format": "document", "related_skills": "strategy-critical-reasoning, strategy-decision, strategy-planning-opportunity" } }, "structure": { "has_scripts": true, "has_references": true, "has_agents": false, "has_assets": true, "has_license_file": false, "file_count": 13, "estimated_tokens": 2059, "complexity_class": "detailed", "skill_pattern": "B" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "findings": [], "rationale": "No obvious credential handling or risky execution patterns detected." }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Use this skill when a user wants to clarify, pressure-test, or work backward from a goal, ambition, initiative, decision, or proposed solution before planning or execution. It defines the desired outcome, success evidence, current state, constraints, assumptions, alternatives, causal path, feasibility, risks, and next design artifact, then produces a reviewable Outcome Design Record. Trigger for vague goals, solution-first requests, \"help me think this through,\" goal feasibility, success criteria, or outcome-oriented design. Do not use for straightforward execution of an already-defined plan or simple factual questions.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "python" ], "license": "MIT" } }, { "name": "strategy-planning-opportunity", "disable_model_invocation": false, "source_id": "source-1", "path": "strategy-planning-opportunity/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-planning-opportunity", "disable_model_invocation": false, "description": "Assess one business or startup opportunity with VC-style but scale-aware judgment, producing a scored pursue/pivot/kill decision, financial sketch, and adjacent alternatives. Use when asked to \"evaluate this idea\", \"score an opportunity\", \"should I launch this\", \"assess my startup idea\", or \"prioritize this venture\".", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "rate business concept, judge venture potential, analyze idea economics, decide grow pivot kill, rank startup backlog, review side project, assess microbusiness potential, compare opportunity options", "role": "analyst", "scope": "analysis", "output_format": "report", "related_skills": "research-market-opportunity, research-market-researcher, strategy-planning-startup, product-strategy-validator, data-analysis-business-performance" } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 4, "estimated_tokens": 542, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 4, "rationale": "Auto-generated from scan-only fallback.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "invocability": { "score": 0, "rationale": "Auto-generated from scan-only fallback." }, "over_specification_risk": { "flagged": false, "rationale": "Auto-generated from scan-only fallback." }, "core_capabilities": "Assess one business or startup opportunity with VC-style but scale-aware judgment, producing a scored pursue/pivot/kill decision, financial sketch, and adjacent alternatives. Use when asked to \"evaluate this idea\", \"score an opportunity\", \"should I launch this\", \"assess my startup idea\", or \"prioritize this venture\".", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "strategy-planning-pricing", "disable_model_invocation": false, "source_id": "source-1", "path": "strategy-planning-pricing/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-planning-pricing", "disable_model_invocation": false, "description": "Builds comprehensive pricing strategies by reading business context and asking targeted questions interactively. Use when user needs pricing plans, tier structures, price points, pricing model recommendations, or any pricing-related strategy for their product or service.", "license": "MIT", "compatibility": null, "allowed_tools": null, "metadata": { "version": "1.0.0", "triggers": "pricing strategy, pricing plan, price points, tier structure, pricing model, subscription pricing, freemium pricing, SaaS pricing, B2B pricing, B2C pricing, pricing tiers, price my product, how to price, pricing recommendation", "role": "pricing-strategist", "scope": "analysis", "output_format": "document", "related_skills": "strategy-planning-startup, marketing-campaign-go-to-market" } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 267, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "strategy-planning-pricing", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 2, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Builds comprehensive pricing strategies by reading business context and asking targeted questions interactively.", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "MIT" } }, { "name": "strategy-planning-startup", "disable_model_invocation": true, "source_id": "source-1", "path": "strategy-planning-startup/SKILL.md", "url": null, "plugins": [ "strategy" ], "frontmatter": { "name": "strategy-planning-startup", "disable_model_invocation": true, "description": "Analyzes the founder's business context to deliver the 3 highest-impact next moves for growth (marketing or sales). Asks up to 10 diagnostic questions when needed to uncover bottlenecks, struggles, and opportunities. Use when user needs strategic guidance, next steps, growth planning, or actionable business strategy.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": false, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 1, "estimated_tokens": 561, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "name": "strategy-planning-startup", "usage_value": { "score": 4, "rationale": "Domain-specific skill with clear purpose.", "sub_scores": { "problem_clarity": 5, "audience_breadth": 3, "capability_gap": 4, "actionability": 4, "reusability": 3 }, "weighted_score": 3.95, "domain_calibration_bonus": 0.3, "method_version": "weighted-v2" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [], "sub_scores": { "data_privacy": 5, "prompt_injection": 5, "illegal_content": 5, "bias": 5, "system_integrity": 5, "untrusted_communication": 5 } }, "executability": { "score": 3, "completeness": 3, "determinism": 3, "consistency": 4, "usability": 4, "rationale": "Workflow is well-structured with clear guidance." }, "invocability": { "score": 1, "rationale": "Name and triggers clearly signal skill purpose." }, "over_specification_risk": { "flagged": false, "rationale": "Provides generalizable patterns." }, "core_capabilities": "Analyzes the founder's business context to deliver the 3 highest-impact next moves for growth (marketing or sales).", "external_requirements_indicator": "self-contained", "external_requirements": [ "none" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "tech-leader-exec-briefing", "disable_model_invocation": false, "source_id": "source-1", "path": "tech-leader-exec-briefing/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "tech-leader-exec-briefing", "disable_model_invocation": false, "description": "Prepare targeted written briefings for executives (CEO, CFO, COO, board members) that reframe technology topics in terms of business impact, cost, and risk — decision-ready, no jargon. Writes from the perspective of a senior technology executive (CIO/CTO). Use when asked to write an executive briefing, prepare a leadership update, brief the CEO/CFO/COO on a technology topic, or communicate a technology issue or decision to senior business leaders.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 354, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Prepare targeted written briefings for executives (CEO, CFO, COO, board members) that reframe technology topics in terms of business impact, cost, and risk — decision-ready, no jargon. Writes from the perspective of a senior technology executive (CIO/CTO). Use when asked to write an executive briefing, prepare a leadership update, brief the CEO/CFO/COO on a technology topic, or communicate a technology issue or decision to senior business leaders.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "tech-leader-roadmap-narrator", "disable_model_invocation": false, "source_id": "source-1", "path": "tech-leader-roadmap-narrator/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "tech-leader-roadmap-narrator", "disable_model_invocation": false, "description": "Translate a technology roadmap into a compelling, business-language strategic narrative that explains sequencing, tradeoffs, and value delivery over time. Helps the user refine roadmap structure — goals, milestones, dependencies, and outcomes — before narrating it. Writes from the perspective of a senior technology executive (CIO/CTO). Use when asked to tell the roadmap story, write a roadmap narrative, explain a technology roadmap to executives, articulate a technology strategy timeline, or turn roadmap artifacts into leadership-ready written communication.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 364, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Translate a technology roadmap into a compelling, business-language strategic narrative that explains sequencing, tradeoffs, and value delivery over time. Helps the user refine roadmap structure — goals, milestones, dependencies, and outcomes — before narrating it. Writes from the perspective of a senior technology executive (CIO/CTO). Use when asked to tell the roadmap story, write a roadmap narrative, explain a technology roadmap to executives, articulate a technology strategy timeline, or turn roadmap artifacts into leadership-ready written communication.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "unspecified" } }, { "name": "tech-leader-vision-builder", "disable_model_invocation": false, "source_id": "source-1", "path": "tech-leader-vision-builder/SKILL.md", "url": null, "plugins": [ "tech" ], "frontmatter": { "name": "tech-leader-vision-builder", "disable_model_invocation": false, "description": "Develop a compelling multi-year technology vision narrative aligned to business outcomes — the \"why, where, and how\" of technology strategy written for senior leadership consumption. Helps the user articulate, sharpen, and structure their technology vision through guided questioning before narrating it. Writes from the perspective of a senior technology executive (CIO/CTO). Use when asked to write a technology vision, articulate a technology strategy, build a vision statement, create a strategic technology narrative, define a technology direction, or communicate where the technology organization is heading and why.", "license": null, "compatibility": null, "allowed_tools": null, "metadata": { "version": null, "triggers": null, "role": null, "scope": null, "output_format": null, "related_skills": null } }, "structure": { "has_scripts": false, "has_references": true, "has_agents": false, "has_assets": false, "has_license_file": false, "file_count": 2, "estimated_tokens": 417, "complexity_class": "compact", "skill_pattern": "A" }, "evaluation": { "usage_value": { "score": 0, "rationale": "Not evaluated" }, "security_risk": { "rating": "low", "rationale": "No obvious credential handling or risky execution patterns detected.", "findings": [] }, "executability": { "score": 0, "rationale": "Not evaluated" }, "invocability": { "score": 0, "rationale": "Not evaluated" }, "over_specification_risk": { "flagged": false, "rationale": "Not evaluated" }, "core_capabilities": "Develop a compelling multi-year technology vision narrative aligned to business outcomes — the \"why, where, and how\" of technology strategy written for senior leadership consumption. Helps the user articulate, sharpen, and structure their technology vision through guided questioning before narrating it. Writes from the perspective of a senior technology executive (CIO/CTO). Use when asked to write a technology vision, articulate a technology strategy, build a vision statement, create a strategic technology narrative, define a technology direction, or communicate where the technology organization is heading and why.", "external_requirements_indicator": "unknown", "external_requirements": [ "unknown" ], "script_languages": [ "none" ], "license": "unspecified" } } ] }