Loading...
Loading...
Found 18 Skills
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", "fetch docs for fastapi").
Retrieves implementation knowledge, code examples, and documentation references. Use to inform technical decision-making when the user requires specific library usage, framework patterns, or syntax details. Trigger on requests to 'search docs', 'find code examples', or 'check implementation details'.
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".
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.
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 Prevents hallucinations based on outdated training data and provides up-to-date API information.
Queries Context7 library documentation via unified Python CLI. Use when resolving library IDs, fetching API references, code examples, or conceptual guides for any programming library or framework.