No explanation of why it's different or better. Only Interesting for a minute, not enough GOOD info, all vague fluff. #164
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After a 15 minutes trying to understand this repo. I'm not enlightened... |
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Replies: 2 comments 1 reply
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Fair feedback - let me give you the concrete answer. What it does: Turns documentation/GitHub repos into Claude Skills that persist across conversations. Instead of uploading a 10MB PDF every time you ask Claude a question, you create a skill once and Claude remembers it forever. Real example:
Why not just use PDFs?
The 10k documents thing: That's for huge documentation sites like Kubernetes (40k+ pages). Most people use it for 100-500 pages. It just handles big docs if needed. Try the quickstart - takes 5 minutes to make a real skill: https://github.com/yusufkaraaslan/Skill_Seekers/blob/main/BULLETPROOF_QUICKSTART.md |
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That helps, But Claude Sonnet 4.5 and ChatGPT seem to disagree (If you read all this, I think you'll agree, it can be expensive) =====[Asked AI] ChatGPT =====[Asked AI] Claude Sonnet 4.5 above question also, ==[Q]= So the skill agent uses your API credits, correct? ==[Q]= You said it doesn't use RAG, but a file system. |
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@ScottzCodez - ChatGPT and Claude both got this completely wrong.
USING skills costs ZERO API credits.
Skills are markdown files on your computer. Once created and uploaded to Claude.ai, they sit in /mnt/skills/. When Claude reads them, it's like reading any file - no API calls happen.
Cost breakdown:
Create skill (one-time):
python3 cli/doc_scraper.py --config configs/react.json --enhance-local
Cost: $0 (uses your Claude Code Max plan for enhancement)
Use skill (forever): $0 per use
The --enhance flag (requires API key) is optional. The recommended --enhance-local flag is free and uses Claude Code instead.
ChatGPT/Claude assumed skills work like RAG (query on every use = expensive). They…