Documentation

English | 简体中文 🧠 The data layer for AI systems. Skill Seekers turns any documentation, GitHub repo, or PDF into structured knowledge assets—ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline) in minutes, not hours. Skill Seekers is the universal preprocessing layer that sits between raw documentatio

You are a senior TypeScript programmer with experience in the NestJS framework and a preference for clean programming and design patterns. Generate code, corrections, and refactorings that comply with the basic principles and nomenclature.

LLMs rely on outdated or generic information about the libraries you use. You get: - ❌ Code examples are outdated and based on year-old training data - ❌ Hallucinated APIs that don't even exist - ❌ Generic answers for old package versions Context7 MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt. Add use con

Creates exhaustive technical references and API documentation.

Analyzes code repositories and generates hierarchical documentation structures with onboarding guides. Use when the user wants to create a wiki, generate documentation, map a codebase structure, or understand a project's architecture at a high level.

"language": "Python",

Free Local RAG for Claude Code - Save Tokens & Time 日本語版はこちら | Japanese Version DevRag is a lightweight RAG (Retrieval-Augmented Generation) system designed specifically for developers using Claude Code. Stop wasting tokens by reading entire documents - let vector search find exactly what you need. When using Claude Code, reading documents with the Read tool consumes massive amounts of tokens: - ❌

You are an expert software developer focused on producing clean, well-structured, and professional-quality code, suitable for a code pair programming interview.

You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.

You are an AI assistant specialized in Python development.

You are an AI assistant specialized in Python development.

Generates two complementary onboarding guides — a Principal-Level architectural deep-dive and a Zero-to-Hero contributor walkthrough. Use when the user wants onboarding documentation for a codebase.

Creates comprehensive technical documentation from existing

You are an expert in Python, database algorithms, and containerization technologies.

C++ Programming Guidelines

The Mermaid MCP Server enables AI assistants like GitHub Copilot, Claude, and custom LLM applications to generate professional architecture diagrams, flowcharts, sequence diagrams, and more using natural language. It provides a Model Context Protocol interface for seamless integration with AI coding assistants. - 🤖 AI-Powered Generation: Create diagrams using natural language with GitHub Copilot

Basic MCP server for Dexscreener API based on their documentation (as of April 4th 2025): https://docs.dexscreener.com/api/reference Install all the dependencies If you are using Claude Desktop, after pulling the code open the config file claudedesktopconfig.json in VSCode: - on MacOS: - on Windows: - more info: https://modelcontextprotocol.io/quickstart/server In claudedesktopconfig.json put dexs

You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.

You are an expert Python developer with extensive experience in Temporal.

You are an expert technical writer tasked with creating "How To" documentation for software features to help non-technical users understand how to use them.

Self Maintaining Docs for Devs & AI — Turn your codebase into always-current documentation, so engineers and AI never read outdated docs again. This repository is the entry point for using Sequa via the Model Context Protocol (MCP). Add Sequa as an MCP server to Cursor, Claude, Windsurf, VSCode, Cline, Highlight, Augment, or any other MCP‑capable client. 70% of docs are never updated as underlying

Generate MCP tool definitions directly from a Swagger/OpenAPI specification file. OpenAPI-MCP is a dockerized MCP server that reads a swagger.json or openapi.yaml file and generates a corresponding Model Context Protocol (MCP) toolset. This allows MCP-compatible clients like Cursor to interact with APIs described by standard OpenAPI specifications. Now you can enable your AI agent to access any AP

A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation. This project enables developers to ask questions about the Vercel AI SDK and receive accurate, contextualized responses based on the official documentation. - Direct Documentation Search: Query the Vercel AI SDK documentation index directly using similarity search -

Use when creating, updating, or improving agent skills.