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Skills IA Documentation
Découvrez les skills Documentation, comparez leurs dépôts et consultez leurs instructions.
Catégories: Documentation
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Explorer
GitHub
status-query-handling
Guides status query handling protocol: find all related documents (plan, progress, status, complete), synthesize comprehensive answer. Use when user asks about status, progress, or completion.
GitHub
docs-navigation
Documentation navigation and organization
GitHub
search
Search CYNIC's collective memory for past judgments, patterns, and decisions. Use when asked to find, search, look up, query, or recall previous evaluations, patterns, or knowledge.
GitHub
documentation-templates
Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
GitHub
planning
Generates comprehensive implementation plans with bite-sized tasks. Use after brainstorming or when requirements are clear, before writing code.
GitHub
google-aistudio-anti-pattern-detection
Detects and corrects common anti-patterns generated by Google AI Studio and similar tools.
GitHub
llm-discoverability
Implement AI/LLM discoverability optimizations based on Cassidy Williams' article to make websites more discoverable by ChatGPT, Claude, Perplexity, and other AI tools.
GitHub
knowledge
Load when working with project_knowledge.json, context files, or managing knowledge cache. Provides patterns for efficient project context management with 90% token reduction.
GitHub
architecture-review
Architecture review guidance. Use when reviewing architectural changes, assessing system design, or evaluating code structure.
GitHub
documentation-templates
Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
GitHub
n1-knowledge
Ability to query and explore the Japanese N1 knowledge base, including grammar points and vocabulary details.
GitHub
compound-docs
Capture solved problems as categorized documentation with YAML frontmatter for fast lookup
GitHub
bounded-context-generator
Generates CONTEXT.md documentation for bounded contexts by exploring existing code and YAML definitions. Trigger: When user asks to document a bounded context, generate CONTEXT.md, or analyze a domain.
GitHub
recursive-refiner
Self-improvement engine. Implements generate-critique-iterate loops for enhanced reasoning. Use when working through complex problems, synthesizing across domains, or when initial output needs refinement. Integ...
GitHub
investigation-techniques
Systematic techniques for narrowing down bugs and identifying root causes
GitHub
zotero-mcp
Zotero MCP server to search your library, access items/notes/annotations, and perform semantic search.
GitHub
add-a-bat
Add a new bat listing to BatDigest by creating a new entry in `data/bats.yaml`, researching missing specs (JustBats/manufacturer), and generating affiliate links; then optionally proceed to add ratings and bat...
GitHub
planning-with-files
Manus-style persistent planning with markdown files. Use for complex tasks, multi-step projects, when tracking progress, organizing work, or when tasks span 50+ tool calls. Creates task_plan.md for phases, note...
GitHub
seo-content-optimization
Optimize page content for target keywords. Use per page after building to integrate keywords naturally into headings, text, and i18n files. Reads docs/seo-analysis.md for keyword targets. Triggers on "optimize...
GitHub
context7
Fetch up-to-date library documentation using Context7 API. Use this skill when the user asks for docs, examples, or help with a specific library/framework (e.g., "look up React docs", "context7 nextjs routing",...
GitHub
hypothesis-testing
Apply the scientific method to debugging: observe, hypothesize, test, and revise
GitHub
technical-documentation
Create clear, comprehensive technical documentation such as API guides, developer playbooks, and system overviews. Use when translating code, architecture diagrams, or integration details into user‑friendly doc...
GitHub
dewey-docs
Generate AI-agent-ready documentation using Dewey. Use when asked to "set up docs", "create documentation", "make docs agent-friendly", "generate AGENTS.md", or "add llms.txt".
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.