Skill_Seekers
Automation tool for converting documentation and code into Claude AI skills
GraphCanon updated today · GitHub synced today
Decision brief
Skill_Seekers is a Python-based tool that automates conversion of various documentation sources into Claude AI skills with built-in conflict detection.
Good fit when
- When you need to integrate extensive online and offline technical documents into Claude AI for quick skill development
- For users who frequently update their codebases on GitHub and want these changes reflected automatically in their AI skills
Avoid when
- If your primary documentation is in formats not supported by Skill_Seekers, such as .docx or image-based documents lacking OCR support
- When you specifically require manual oversight of every step in skill creation to ensure precision and customization for your specific needs
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of today
- Provenance
- Not a fork · Personal account
- As of today
- Security (OSV)
- No MCP manifest
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Skill_SeekersHow it fits your stack(1)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based automation tool that converts documentation from websites, GitHub repositories, and PDFs into user-specific Claude AI skills with automatic conflict detection.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 26, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 26, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 26, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 26, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 26, 2026)
**Prerequisites:** Python 3.10+, Git. New here? → **[Bulletproof Quick Start](docs/getting-started/BULLETPROOFSource link
Source: README excerpt (regex_v1, Aug 26, 2026)
| `skill-seekers[openai]` | OpenAI ChatGPT support |Source link
Source: README excerpt (regex_v1, Aug 26, 2026)
| `skill-seekers[mcp]` | MCP server for Claude Code, Cursor, etc. |Source link
Tags
README
📦 Installation
pip install skill-seekers # Core: scraping, GitHub, PDF, packaging
pip install skill-seekers[all-llms] # + every LLM platform
pip install skill-seekers[mcp] # + MCP server
pip install skill-seekers[all] # Everything
Not sure what you need? Run the wizard: skill-seekers-setup
All installation extras
| Install | Adds |
|---|---|
skill-seekers[gemini] | Google Gemini support |
skill-seekers[openai] | OpenAI ChatGPT support |
skill-seekers[all-llms] | All LLM platforms |
skill-seekers[mcp] | MCP server for Claude Code, Cursor, etc. |
skill-seekers[video] | YouTube/Vimeo transcript & metadata extraction |
skill-seekers[video-full] | + Whisper transcription & visual frame extraction |
skill-seekers[jupyter] | Jupyter Notebook support |
skill-seekers[pptx] | PowerPoint support |
skill-seekers[confluence] | Confluence wiki support |
skill-seekers[notion] | Notion pages support |
skill-seekers[rss] | RSS/Atom feed support |
skill-seekers[chat] | Slack/Discord chat export support |
skill-seekers[asciidoc] | AsciiDoc support |
skill-seekers[all] | Everything |
Video visual deps (GPU-aware): after installing
skill-seekers[video-full], runskill-seekers create --setupto auto-detect your GPU and install the matching PyTorch variant + easyocr.
Prerequisites: Python 3.10+, Git. New here? → Bulletproof Quick Start 🎯
📝 License
MIT — see LICENSE.
For agents
This page has a .md twin and JSON over the API.