Janlaywss

Janlaywss / hu-chenfeng-skill

Public

户晨风Skill

75
4
100% credibility
Found Apr 08, 2026 at 75 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of tools to process Hu Chenfeng's live stream transcripts into a searchable collection and find relevant quotes using smart matching.

How It Works

1
🔍 Discover the Hu Chenfeng quote finder

You hear about a simple tool that lets you search through hundreds of Hu Chenfeng's live stream transcripts to find exactly what he said on any topic.

2
📁 Gather your transcript collection

You collect all the text files from his live talks into one folder on your computer.

3
🛠️ Build your personal search guide

You run a quick setup that reads all the transcripts and creates a smart guide to instantly find matching parts.

4
❓ Ask about any topic

You type a question like 'What did he say about hard work?' and choose options like date range if you want.

5
💡 See the best matching quotes

The tool shows the top relevant snippets, who said them, when, and where from, ranked by how well they match.

🎉 Relive his wisdom anytime

Now you can easily pull up inspiring words from his talks whenever you need them, feeling like having a personal archive.

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Star Growth

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AI-Generated Review

What is hu-chenfeng-skill?

This Python project builds a semantic search index over 490 Hu Chenfeng live transcripts, chunking talks by speaker and date for fast retrieval of quotes on topics like consumerism or education. Developers point it at a transcript directory to generate a compact vector index, then query via CLI with filters for dates, top results, or Hu-only speech, or integrate it as an MCP server tool for Anthropic Claude prompts. It's a niche RAG setup for Chenfeng fans, running fully local with no cloud dependencies.

Why is it gaining traction?

In the github skill anthropic and skill github claude directories—like awesome github skills or marketplaces for copilot/openclaw—it delivers precise, scored results from Chinese transcripts using a lightweight embedding model. CLI handles queries like "吃苦有用吗" with date ranges, while the MCP protocol plugs seamlessly into Claude for AI chats, standing out from generic search tools with its focused, offline speed.

Who should use this?

Claude power users querying Chenfeng wisdom in prompts, Python devs prototyping RAG for live stream archives, or curators in github skill compose/marketplace building topic-specific tools.

Verdict

Solid for Chenfeng superfans at 75 stars and 1.0% credibility score—docs are minimal, no tests, but it works out of the box. Try if you need this exact skill; otherwise, scope broader github antigravity skill alternatives.

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