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Found 2,118 Skills
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
Scrape documentation websites into local markdown files for AI context. Takes a base URL and crawls the documentation, storing results in ./docs (or custom path). Uses crawl4ai with BFS deep crawling.
Use this skill whenever Claude needs to fetch, read, extract, or analyze content from a web URL. Converts web pages into clean, token-efficient markdown using the markdown.new service instead of fetching raw HTML. Trigger when the user provides a URL and wants its content summarized, quoted, analyzed, compared, extracted, or processed. Also trigger when Claude needs to read documentation, blog posts, articles, wikis, release notes, changelogs, or any web-hosted text content. Even if the user just pastes a URL with no instruction, use this skill. Do NOT use for binary files, authenticated pages, or API endpoints returning JSON/XML.
AKShare CLI wrapper and API reference documentation. Use this skill to access Chinese financial market data via command line (stocks, futures, funds, bonds, forex, macro indicators) or browse comprehensive API documentation with parameter tables, output schemas, and code examples for all supported data categories.
Guide for creating and maintaining project documentation (README, guides, API specs). Emphasizes doc/code synchronization, consistency checks, and use of the docs-excellence-architect subagent.
Technical documentation discovery via context7 and web search. Capabilities: library/framework docs lookup, topic-specific search. Keywords: llms.txt, context7, documentation, library docs, API docs. Use when: searching library documentation, finding framework guides, looking up API references.
Enables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases. Triggers on "notebooklm", "nlm", "notebook query", "research notebook", "query documentation in notebooklm".
Comprehensive prompt and context engineering for any AI system. Four modes: (1) Craft new prompts from scratch, (2) Analyze existing prompts with diagnostic scoring and optional improvement, (3) Convert prompts between model families (Claude/GPT/Gemini/Llama), (4) Evaluate prompts with test suites and rubrics. Adapts all recommendations to model class (instruction-following vs reasoning). Validates findings against current documentation. Use for system prompts, agent prompts, RAG pipelines, tool definitions, or any LLM context design. NOT for running prompts, generating content, or building agents.
Fetches up-to-date documentation for Cesium, CesiumJS, Cesium Viewer, 3D Tiles, Unreal Engine integration, Unity integration, cesium-unreal, cesium-unity, ACesium3DTileset, ACesiumGeoreference, Globe Anchor, Cesium plugin, georeferencing, and Cesium-related APIs using Context7 MCP tools. Useful for CesiumJS classes (Viewer, Entity, Camera, Scene, Cartesian3, etc.), Unreal Engine Cesium components, Unity Cesium components, 3D Tiles specification, and Cesium integrations. Use query-docs with library IDs: /cesiumgs/cesium (CesiumJS), /cesiumgs/cesium-unreal (Unreal), /cesiumgs/cesium-unity (Unity), /websites/ogc_cs_22-025r4 (3D Tiles spec).
Use this skill when writing, reviewing, or structuring technical documentation for software projects. Triggers on API documentation, tutorials, architecture decision records (ADRs), runbooks, onboarding guides, README files, or any developer-facing prose. Covers documentation structure, writing style, audience analysis, and doc-as-code workflows for engineering teams.
Update project documentation after feature approval. Creates/updates feature docs and user guides. Use after /test passes and user approves. Supports task IDs for easier invocation.
Fetches TrueFoundry documentation, API reference, and deployment guides. Use when the user needs platform docs or how-to guidance.