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Skill_Seekers
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Skill_Seekers

Active·★ 15.1k·MIT·Updated 2026-09-30
★ Trending

Skill Seeker is an automated tool that converts documentation websites, GitHub repositories and PDF files into production-ready Claude AI skills. The README describes a pipeline: it scrapes multiple sources, analyses code repositories with deep AST parsing, detects conflicts between documentation and the code, organises content into categorised reference files, enhances it with AI to pull out the best examples and concepts, and packages everything into an uploadable ZIP. The claimed result is a skill for any framework or API in 20 to 40 minutes instead of hours of manual work.

Documentation scraping detects llms.txt files, PDF support was added in v1.2.0, GitHub scraping in v2.0.0, and a unified multi-source mode combines them. Since v2.5.0 it also targets four platforms: Claude (ZIP with YAML, needs ANTHROPIC_API_KEY), Google Gemini (tar.gz, GOOGLE_API_KEY), OpenAI ChatGPT (ZIP plus vector store, OPENAI_API_KEY) and a generic Markdown export that needs no key, selected with a --target flag and optional dependencies such as pip install skill-seekers[gemini]. A companion site offers 24+ preset configs. The licence is MIT.

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Not affiliated with Anthropic, OpenAI or Microsoft.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-10.

License
MIT
Latest release
v3.10.0 · 2026-09-30
Last commit
2026-09-30
Contributors
50
Forks
1,542
Open issues and PRs
49
First published
2025-10-17
PyPI package
skill-seekers 3.10.0 · 671 downloads last week

Source: GitHub, npm and PyPI public APIs.

#Claude AI#Documentation Automation#GitHub Analysis#PDF Processing#Python#Web Browsing#Coding#Data Analysis
$ Install
$ pip install skill-seekers
↗ Visit site★ GitHub
01

Features

01Documentation Scraping
02PDF Support
03GitHub Repository Scraping
04Unified Multi-Source Scraping
05Multi-LLM Platform Support
02

Why choose it

+Combines docs sites, GitHub repositories and PDFs into one skill, with conflict detection between docs and code.
+Uses AST parsing of code and detects llms.txt files, rather than only scraping page text.
+Exports for Claude, Gemini, OpenAI and generic Markdown through one --target flag.
+MIT licensed, with 24+ preset configs and a public development roadmap.
03

Trade-offs

!The AI enhancement and auto-upload steps need an API key for the chosen platform (Anthropic, Google or OpenAI), which adds cost.
!The 20 to 40 minute time and quality of the generated skills are the project's claims and depend on the size and quality of the source docs.
!Scraping documentation sites and repositories should respect each site's terms, and generated skills still need reviewing before use.
04

Compatibility

Claude AI
Native
Verified via docs
Google Gemini
Supported
Verified via docs
OpenAI ChatGPT
Supported
Verified via docs
Generic Markdown
Partial
Verified via docs
Model Context Protocol
Integrated
Verified via docs
05

Quick start

1
$ pip install skill-seekers
06

Use cases

↳Create skills from documentation and GitHub repos with conflict detection (for developers)
↳Generate skills for game engines like Godot and Unity (for game devs)
↳Combine internal documentation and code repositories into a single source of truth (for teams)
07

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Stats
GitHub Stars★ 15.1k
Last commit2w ago
StatusActive
LicenseMIT
CategoryDev Tooling
Trend (30d)
+0.6k↑ 4.4%
Links
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