Skip to content

Skill Seekers

Turns docs sites, GitHub repos and PDFs into packaged knowledge files for Claude AI skills.

Stars
15.3k
Forks
1.5k
Licence
MIT
Language
Python
Last update
1 months ago
Type
Dev tool

What it is

Skill Seekers is a Python command-line tool that collects content from sources such as documentation websites, GitHub repositories, and PDFs, then organizes it into a skill that an AI assistant like Claude can use. The README describes a create step to build the skill and a package step to produce a zip ready for an AI platform. The description also mentions automatic conflict detection, which the README excerpt does not explain in detail.

  • Create a skill from a documentation site with skill-seekers create and a URL
  • Package the output for Claude with skill-seekers package --target claude
  • Build a skill from a GitHub repository such as facebook/react
  • Convert a PDF or Word file into a skill source
  • Scan a local project with the AI-driven scan command to generate configs

Great for

  • Developers who want an AI assistant to know a specific library's documentation
  • Teams packaging internal docs or PDFs as reference material for Claude
  • People comfortable running Python command-line tools
  • Users who want to scrape documentation sites into structured files

Not ideal for

  • People who need a point-and-click app, since the README shows only command-line usage
  • Users who do not have Python 3.10+ installed, since it is a listed prerequisite
  • Anyone expecting the tool to work without an AI platform account, since packaging targets AI platforms
Step-by-step guide: how to use Skill SeekersInstall, first run, examples, tips and FAQs

How to get it

  1. 1

    Install with a package manager

    You'll need: Python 3.10+ · Git

    Install core package

    pip install skill-seekers
  2. 2

    Run it

    • Run skill-seekers create https://docs.djangoproject.com/ to build a skill from a documentation site
    • Optionally run skill-seekers detect with the same URL and --json to preview detection
    • Run skill-seekers package output/django --target claude to produce a zip file
  3. 3

    Get the most out of it

    • Install extras such as skill-seekers[all-llms] to support more AI platforms
    • Use the --agent option to choose a different AI agent for enhancement
    • Use the MCP server extra skill-seekers[mcp] to connect with tools like Claude Code or Cursor
    • Check the Scraping Guide for options across all 18 source types

Downloads

Strengths

  • Simple quick start: install, create, package, as shown in the README
  • Supports many source types listed in the README, including PDF, EPUB, and Jupyter
  • MIT license and an active project with a recent push date

Trade-offs

  • The README excerpt is truncated and some features, such as conflict detection, are not explained there
  • Some features need optional extras and AI agent setup, which adds configuration work
  • Output quality depends on the AI agent used for enhancement, which the README does not evaluate

How it compares

ProjectStarsTypeLevelUpdatedBest for
Skill_Seekers (this)15.3kDev toolintermediate1 months agoDevelopers who want an AI assistant to know a specific library's documentation
github-mcp-server34.2kDev toolintermediate4 days agoDevelopers who already use an MCP-compatible AI tool such as VS Code with Copilot, Claude Desktop, or Cursor
codebase-memory-mcp48kDev toolintermediate4 days agoDevelopers who use an MCP-capable AI coding agent on a large codebase
Trail-Code11kDev toolbeginner4 days agoDevelopers who use Claude Code, Cursor, Codex or similar agents on a medium or large repository
cc-switch151kAppbeginner4 days agoDevelopers who use several AI coding agents and switch between API providers often
Agent-Reach108kCLIbeginner5 days agoDevelopers building or using AI agents that need web content beyond basic search

Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.