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Found 1,955 Skills
Code Documentation Analyzer - Auto-activating skill for Technical Documentation. Triggers on: code documentation analyzer, code documentation analyzer Part of the Technical Documentation skill category.
Document architectural decisions. Use when making significant technical decisions that should be recorded. Covers ADR format and decision documentation.
Documentation and codemap specialist. Use PROACTIVELY for updating codemaps and documentation. Generates docs/CODEMAPS/*, updates READMEs and guides.
Use when needing API docs, framework patterns, or code examples for any library. Fetches up-to-date documentation via Context7 REST API.
Build comprehensive ARCHITECTURE.md files for any repository following matklad's canonical guidelines. This skill should be used when creating codebase documentation that serves as a map for developers and AI agents, auditing existing repos for architectural understanding, or when users ask to 'document the architecture', 'create an architecture.md', or 'map this codebase'. Produces bird's eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries.
Add and update the documentation website for Syncpack. Use when making user-facing changes to the codebase.
Removes AI writing artifacts from documentation and code. Use when editing LLM-generated prose, reviewing READMEs, polishing docs before publishing, or cleaning up AI-generated code. Use for emdash cleanup, formulaic phrase removal, tone calibration, over-commented code, verbose naming, and AI code smell detection.
Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs for Y", "MLflow API for Z".
Search auto-generated codebase documentation for function signatures, API docs, class definitions, and code comments. Use when the user asks to "search docs", "find documentation", "look up a function", "check the API", or before implementing changes to verify correct signatures and patterns.
Intelligent Retrieval Assistant for Cangjie Language Documentation. Supports 4 search modes (Direct Search, PageIndex Intelligent Retrieval, Hybrid Mode, Exploratory Learning). It is used when users need to: (1) Query Cangjie syntax (variable declaration, function definition, generics, etc.), (2) Look up standard library APIs (String, Array, HashMap, etc.), (3) Learn about Cangjie features or get started with the language, (4) Conduct any documentation queries related to Cangjie/cangjie/cj. It uses four MCP tools: cangjie_docs_overview, cangjie_list_docs, cangjie_search, and cangjie_get_doc for intelligent retrieval.
Implement a project from its documentation and specification. Use when asked to "implement project", "continue implementation", "build from docs", "implement from spec", or when the user wants to progressively implement a documented project following a todo checklist. Reads docs/, creates implementation plans and todo lists, and implements incrementally with tests and commits.
A skill for retrieving the latest library documentation using Context7. Use when the user asks about how to use a library, requests code examples, or instructs to "use context7". Prevents hallucinations based on outdated training data and provides up-to-date API information.