azuma520

azuma520 / youtube-to-notebooklm

Public

YouTube → NotebookLM 研究工作流：搜影片、抓字幕、推進 NotebookLM 生成播客/摘要/思維導圖。兩個 AI Agent Skills，適用於任何支援 Skills 的 Agent。

19
2
100% credibility
Found Mar 07, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project adds skills to AI assistants for searching YouTube videos, grabbing or creating transcripts, and sending content to NotebookLM to generate podcasts, mind maps, quizzes, and other outputs using everyday language.

How It Works

1
🔍 Discover the helper

You find a cool tool that lets your AI assistant turn YouTube videos into podcasts, notes, and quizzes just by chatting.

2
🔧 Add it to your AI friend

Run a quick setup so your AI buddy gains these new powers with a few simple steps.

3
🔄 Restart and ready

Give your AI a quick refresh, and now it's supercharged for video magic.

4
💬 Talk naturally

Say things like 'find videos on cold pressed juice' or 'make a podcast from this video' in plain words.

5
📺 See video options

Your assistant lists helpful videos with details like title and length, and you pick your favorite.

6
Capture the video's words
✅
Use existing captions

Pull the ready-made subtitles quickly.

👂
Listen and write

Have it transcribe the audio accurately if no captions exist.

7
✨ Make cool creations

Ask to send it to NotebookLM and whip up a podcast, mind map, quiz, or slides.

🎉 Get your goodies

Download your shiny new audio file, notes, or study aids and enjoy learning easily.

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Star Growth

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AI-Generated Review

What is youtube-to-notebooklm?

This Python project delivers three AI agent skills for searching YouTube videos, grabbing or transcribing subtitles, and feeding them into NotebookLM to spit out podcasts, mind maps, quizzes, or reports—all via natural language commands in your terminal. It solves the hassle of manually downloading transcripts or switching apps for research workflows, chaining yt-dlp for searches, faster-whisper for transcription, and notebooklm-py for outputs like WAV podcasts or PDF slides. You say "search cold pressed juice videos and make a podcast from #3," and it handles the rest.

Why is it gaining traction?

It stands out by plugging directly into AI agents like Claude Code or Cursor, auto-triggering skills without CLI flags or chrome extension youtube to notebooklm hacks—perfect for devs ditching mouse-heavy youtube notebooklm tutorials. The end-to-end flow from youtube github projects search to translated NotebookLM audio beats fragmented tools like standalone youtube github downloaders, with multi-source uploads (up to 50 files) for richer outputs. Bilingual docs (English/Chinese) lower the barrier for global users hunting youtube to notebooklm android or desktop alternatives.

Who should use this?

Researchers scraping youtube notebooklm podcast ideas from talks, content creators turning tutorials into mind maps or flashcards, and students building study decks from non-subtitled videos. AI agent users in Windsurf or Cursor who want youtube github copilot-style automation for NotebookLM without browser extensions or manual uploads.

Verdict

Grab it if you're deep in agent workflows—solid docs and free tools make it a quick win despite 19 stars and 1.0% credibility signaling early maturity. Skip for production until more testing; test on a side project first.

(198 words)

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