Neura Market
Skill_Seekers logo

Skill_Seekers

Free

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

Model APIsFreeFree tier
#Python
Type
Open Source
Visit Website GitHub (13.3k stars)

About Skill_Seekers

Skill Seekers is an open-source data layer for AI systems that transforms 18 source types—documentation websites, GitHub repositories, PDFs, videos, Jupyter notebooks, Word/EPUB documents, OpenAPI specs, Confluence wikis, Notion pages, and more—into structured AI skills and RAG-ready knowledge. It supports 12+ AI platforms including Claude, Gemini, OpenAI, LangChain, and Cursor, with deep code analysis across 27+ languages and an agent-agnostic architecture. Users can generate comprehensive AI skills in 15–45 minutes, keep knowledge up-to-date by re-running on updated sources, and publish skills to marketplaces.

Key Features

18 input source types: docs, GitHub repos, PDFs, videos, Jupyter notebooks, Word, EPUB, OpenAPI, AsciiDoc, PPTX, HTML, RSS, man pages, Confluence, Notion, Slack/Discord, and local codebases
12+ AI platform outputs: Claude, Gemini, OpenAI, Kimi, DeepSeek, Qwen, LangChain, LlamaIndex, Pinecone, Chroma, FAISS, Haystack, Cursor, Windsurf, and more
Deep code analysis with AST and C3.x analysis across 27+ languages
Three-stream analysis for GitHub repos: code, docs, and insights
Agent-agnostic architecture supporting Claude, Kimi, Codex, Copilot, OpenCode, and custom agents
Smart SPA discovery engine with sitemap.xml, llms.txt, and navigation rendering
40 MCP tools across 10 categories for AI agents to prepare their own knowledge
Marketplace publisher for Claude Code plugin marketplace repos
Unified create command and MCP support for all source types
End-to-end skill generation in 15–45 minutes

Pros & Cons

Pros
  • Open source under MIT license with 3194+ tests passing
  • Supports a broad range of 18 source types and 12+ output platforms
  • Fast skill generation (15–45 minutes) with deep code analysis
  • Agent-agnostic architecture allows flexibility in choosing AI agents
  • Smart SPA discovery handles modern JavaScript-heavy documentation sites
  • Includes MCP tools for agent-driven knowledge preparation
  • Marketplace publisher integrates with Claude Code plugin ecosystem
Cons
  • Requires Python installation and command-line usage, which may have a learning curve for non-technical users
  • Performance depends on source size and complexity; very large repos may exceed the 15–45 minute estimate

Best For

Building comprehensive AI skills from documentation and codebases for assistants like Claude and GeminiPreparing RAG-ready knowledge bases from multiple source types for LangChain or LlamaIndexEnabling AI coding assistants (Cursor, Windsurf, Cline) with deep framework expertiseKeeping AI knowledge automatically up-to-date by re-running on updated sourcesRapidly onboarding to new codebases by generating contextual skills in minutesPublishing structured skills to Claude Code plugin marketplace

Alternatives to Skill_Seekers

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

aider

aider is AI pair programming in your terminal

axolotl

Go ahead and axolotl questions

Chroma

Open-source embedding database

awesome-claude-code

A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic

agents-course

This repository contains the Hugging Face Agents Course.

FAQ

What source types does Skill Seekers support?
It supports 18 source types: documentation websites, GitHub repos, PDFs, videos, Jupyter notebooks, Word (.docx), EPUB, OpenAPI/Swagger, AsciiDoc, PowerPoint (.pptx), HTML, RSS/Atom, man pages, Confluence, Notion, Slack/Discord, and local codebases.
Which AI platforms can I export skills to?
Skill Seekers can export to Claude, Gemini, OpenAI, Kimi, DeepSeek, Qwen, OpenRouter, Together, Fireworks, MiniMax, OpenCode, LangChain, LlamaIndex, Pinecone, Chroma, FAISS, Haystack, Qdrant, Weaviate, and AI coding tools like Cursor, Windsurf, Cline, Continue.dev, Roo, Aider, Bolt, Kilo, as well as generic Markdown, JSON, and YAML.
Is Skill Seekers free to use?
Yes, Skill Seekers is open source under the MIT license with no paid tiers mentioned on the website.
How long does it take to create a skill?
End-to-end skill generation typically takes 15–45 minutes depending on the source type and size.