skill-seekers

-Automatically convert documentation websites, GitHub repositories, and PDFs into Claude AI skills in minutes.

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Install

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Download and extract to your skills directory

Copy command and send to OpenClaw for auto-install:

Download and install this skill https://openskills.cc/api/download?slug=sickn33-skills-skill-seekers&locale=en&source=copy

Skill Seekers - Intelligent Document-to-AI Skill Tool

Skill Overview


Skill Seekers is a powerful AI skill automation generator that automatically converts 17 types of data sources—such as documentation websites, GitHub repositories, PDF files, and video tutorials—into AI skills usable across multiple platforms, including Claude, Gemini, OpenAI, and more. This dramatically reduces the time required to AI-enable a knowledge base.

Use Cases

  • AI-enabling Team Knowledge Bases

  • Centralize internal company documents, API manuals, and product spec sheets into AI skills, so team members can quickly get accurate answers through conversation and improve information-retrieval efficiency.

  • Learning Frameworks and Technical Documentation

  • For frameworks developers commonly use—such as React, Django, FastAPI, etc.—generate structured AI skill packages with one click. When coding, the best practices and code examples relevant to the context are automatically retrieved.

  • RAG Application Data Preprocessing

  • Provide preprocessed structured documents for RAG frameworks like LangChain, LlamaIndex, and Pinecone. Skip the tedious steps of crawling, cleaning, and chunking, and jump straight to vectorization and retrieval development.

    Core Features

  • Support for 17 Data Sources

  • Supports many origins—including documentation websites, GitHub repositories, local code, PDFs, Word files, EPUBs, videos (YouTube/local), Jupyter Notebooks, OpenAPI specs, PowerPoint, RSS, man pages, Confluence, Notion, chat logs, and more—so they can all be merged into a single skill.

  • Multi-Platform Skill Export

  • With one set of preprocessed data, export in formats for 16 platforms, including Claude AI, Google Gemini, OpenAI ChatGPT, MiniMax, LangChain, LlamaIndex, Pinecone, Cursor, Windsurf, Cline, and others—without needing to crawl repeatedly.

  • AI-Driven Skill Enhancement

  • Includes multiple enhancement workflows (default, minimal, security-focus, architecture-comprehensive, etc.). Automatically generates a high-quality SKILL.md file with 500+ lines, including code examples, pattern guidelines, and best practices.

    FAQ

    What is Skill Seekers? What can it do?


    Skill Seekers is an “AI system data layer.” It sits between the original documentation and the AI system that consumes those documents. Whether you’re building Claude skills, a LangChain RAG pipeline, or Cursor’s .cursorrules file, the data preparation work is the same. Do it once, and export to all target platforms.

    How do I quickly create my first Claude skill?


    Just three commands:
    # 1. Install
    pip install skill-seekers
    
    # 2. Create a skill from any source
    skill-seekers create https://docs.django.com/
    
    # 3. Package into a Claude platform format
    skill-seekers package output/django --target claude

    After that, it will generate output/django-claude.zip, which you can upload directly to Claude AI for use.

    What document sources does Skill Seekers support?


    It supports 17 data source types:
  • Online documentation: any documentation website (auto-detects llms.txt)

  • Code repositories: public or private GitHub/GitLab repositories

  • Document files: PDF, Word (.docx), EPUB, PowerPoint (.pptx), AsciiDoc

  • Interactive content: Jupyter Notebooks, videos (YouTube/Vimeo/local)

  • Collaboration platforms: Confluence wiki, Notion pages, Slack/Discord chat logs

  • Other: OpenAPI specs, RSS/Atom subscriptions, man pages, local HTML
  • Which platforms can the generated skills be used on?


    Supports 12 LLM platforms: Claude AI, Google Gemini, OpenAI ChatGPT, MiniMax AI, Generic Markdown, OpenCode, Kimi (Moonshot), DeepSeek AI, Qwen (Alibaba), OpenRouter, Together AI, Fireworks AI. It also supports RAG frameworks like LangChain, LlamaIndex, Haystack, etc., as well as vector databases like Pinecone, Chroma, FAISS, and Qdrant.

    How do I upload skills to Claude AI?


    There are three ways:
  • API auto-upload: after setting ANTHROPIC_API_KEY, use skill-seekers package output/react/ --upload to upload automatically

  • Manual upload: visit https://claude.ai/skills, click “Upload Skill”, and select the generated .zip file

  • MCP integration: in Claude Code, say “Package and upload the React skill” directly
  • Is Skill Seekers free?


    Yes. Skill Seekers uses the MIT open-source license and is completely free to use. Some features (such as AI enhancement) can optionally use the Claude API (which incurs costs). You can also use the free LOCAL mode (requires a Claude Code Max subscription).

    How do I configure a GitHub Token to improve crawl speed?


    By default, anonymous access to the GitHub API is limited to 60 requests/hour. Configure a Token to increase it to 5000 requests/hour:
    # Method 1: environment variable
    export GITHUB_TOKEN=ghp_your_token_here
    
    # Method 2: interactive configuration wizard
    skill-seekers config --github

    Does it support AI coding assistants like Cursor and Windsurf?


    Fully supported. Skill Seekers can automatically generate context files such as .cursorrules, .windsurfrules, and .clinerules, so AI coding assistants can automatically “understand” your framework documentation without repeated prompting. Supports Cursor, Windsurf, Cline (VS Code), Continue.dev, and more.