Hey 👋

Released Skill Seekers v2.5.0 with universal LLM support - convert any documentation into structured markdown skills.

## What It Does

Automatically scrapes documentation websites and converts them into organized, categorized reference files with extracted code examples. Works with any LLM (local or remote).

## New in v2.5.0: Universal Format Support

✅ Generic Markdown export - works with ANY LLM
✅ Claude AI format (if you use Claude)
✅ Google Gemini format (with grounding)
✅ OpenAI ChatGPT format (with vector search)

Why This Matters for Local LLMs

Instead of context-dumping entire docs, you get:
Organized structure: Categorized by topic (getting-started, API, examples, etc.)
Extracted patterns: Code examples pulled from docs with syntax highlighting
Portable format: Pure markdown ZIP - use with Ollama, llama.cpp, or any local model
Reusable: Build once, use with any LLM

Quick Example

```bash

Install

pip install skill-seekers

Scrape any documentation

skill-seekers scrape --config configs/react.json

Export as universal markdown

skill-seekers package output/react/ --target markdown

Result: react-markdown.zip with organized .md files

```

The output is just structured markdown files - perfect for feeding to local models or adding to your RAG pipeline.

Features
📄 Documentation scraping with smart categorization
🐙 GitHub repository analysis
📕 PDF extraction (for PDF-based docs)
🔀 Multi-source unified (docs + code + PDFs in one skill)
🎯 24 preset configs (React, Vue, Django, Godot, etc.)

Links
GitHub: https://github.com/yusufkaraaslan/Skill_Seekers
PyPI: https://pypi.org/project/skill-seekers/
Release: https://github.com/yusufkaraaslan/Skill_Seekers/releases/tag/v2.5.0

MIT licensed, contributions welcome! Would love to hear what documentation you'd like to see supported.

submitted by /u/Critical-Pea-8782
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[Release] Skill Seekers v2.5.0 - Multi-Platform Support: Convert docs to skills for Claude, Gemini, ChatGPT, or any LLM

Quick Overview

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