# yusufkaraaslan/Skill_Seekers

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

Repository: https://github.com/yusufkaraaslan/Skill_Seekers
Canonical: https://ross.abutalabs.com/products/skill_seekers
Homepage: https://skillseekersweb.com/
Language: Python
License: MIT
License Family: permissive
Topics: ai-tools, automation, claude-ai, claude-skills, documentation, documentation-generator, python, web-scraping, mcp, mcp-server, github, ocr, pdf, ast-parser, code-analysis, conflict-detection, github-scraper, multi-source
Last push: 2026-08-25T04:24:33+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 96, longevity 22
- inputs: {"age_days": 320, "days_push": 8, "days_rel": 31, "gap_med": 4, "n_releases_24m": 34}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 14839, forks 1514 (observed 2026-08-28T04:11:07.770781+00:00)

## What it is
Skill Seekers is a Python CLI toolkit and MCP server that converts documentation sites, GitHub repos, PDFs, codebases, notebooks, and other sources into structured AI skills and RAG-ready knowledge packages. It exports to 22 targets including Claude, Gemini, OpenAI, LangChain, LlamaIndex, and AI coding assistants, with automatic conflict detection across sources.

## Use cases
- convert documentation website into a claude skill
- build RAG knowledge base from a github repo
- extract pdf manuals with ocr into llm-ready knowledge
- create ai skills for cursor or windsurf from docs
- generate langchain or llamaindex knowledge from multiple sources
- turn jupyter notebooks into structured ai knowledge
- package openapi specs as an ai skill

## When to avoid
- you only need a simple one-off web scraper without AI skill packaging
- your sources are already clean markdown and your LLM platform has native ingestion
- you need real-time data sync rather than periodic skill generation

## Facets
- artifact type: cli-tool
- maturity: active
- function: web-scraping, ocr, rag, prompt-engineering, mcp, cli, parser, data-generation, documentation
- domain: artificial-intelligence, large-language-models, developer-tools, documentation
- platform: python, cli, cross-platform, windows
- tags: claude-skills, ai-skills, knowledge-pipeline, llm-tools, skill-generation, multi-source, conflict-detection, ast-analysis, retrieval-augmented-generation, automation, natural-language-processing, macos, linux

## Member repositories
- yusufkaraaslan/Skill_Seekers (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:07.770781+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:07:08.112483+00:00, confidence not recorded.
  - readme: https://github.com/yusufkaraaslan/Skill_Seekers (fetched 2026-08-28T04:11:07.770781+00:00, sha 900ed913f377)
  - homepage: https://skillseekersweb.com/ (fetched 2026-08-29T08:05:09.031944+00:00, sha 43e04e25d5fc)
  - site_page: https://skillseekersweb.com/docs/getting-started/overview (fetched 2026-08-29T08:05:09.041547+00:00, sha b40c70c4a23c)
  - site_page: https://skillseekersweb.com/docs/getting-started/installation (fetched 2026-08-29T08:05:09.043860+00:00, sha 290d39277789)
  - site_page: https://skillseekersweb.com/docs/getting-started/quick-start (fetched 2026-08-29T08:05:09.045881+00:00, sha 5d564a07d617)
  - site_page: https://skillseekersweb.com/api-docs (fetched 2026-08-29T08:05:09.047781+00:00, sha 253469b13db6)
  - registry_pypi: https://pypi.org/pypi/skill_seekers/json (fetched 2026-08-29T08:05:09.049410+00:00, sha e93a5a9a0fb1)
- Data as of 2026-08-30T08:39:29.467469+00:00.