claude-world

claude-world / notebooklm-skill

Public

NotebookLM does the research, Claude writes the content. Research → Synthesis → Content Creation → Publishing. Claude Code Skill + MCP Server.

youtu.be6M3K4sxahdE ai-research claude-code claude-code-skill content-pipeline mcp-server
78
10
69% credibility
Found Mar 14, 2026 at 66 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This open-source tool automates turning web sources and trends into researched notebooks, AI-generated artifacts like podcasts and slides, and polished content for publishing.

How It Works

1
🔍 Spot a hot topic

You see news articles, videos, or trends you want to research and turn into cool content like podcasts or slides.

2
🚀 Quick setup with your Google sign-in

It opens your browser once to connect your Google account, saving everything securely for easy future use.

3
📚 Feed in your sources

Share web links, PDFs, or YouTube videos into a smart notebook that organizes them neatly.

4
🧠 Deep research magic happens

The notebook asks smart questions, finds key facts with proof, and builds a treasure of insights automatically.

5
✨ Generate ready-to-share goodies

Create podcasts, video summaries, slide decks, quizzes, or reports in your language with one simple go.

6
📤 Publish or use with AI helper

Send the insights to your favorite AI chat for articles or posts, or share directly to blogs and social media.

🎉 Your content shines

Watch as your professional podcasts, videos, and posts wow friends, followers, and spark conversations.

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Star Growth

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AI-Generated Review

What is notebooklm-skill?

This Python tool automates NotebookLM for deep research on URLs, PDFs, YouTube videos, or trending topics, then pipes structured insights to Claude for content like articles, social posts, or newsletters. It runs as a CLI for quick pipelines—research-to-article, trend-to-content—or as an MCP server exposing 13 tools for google skills notebooklm and notebooklm agent skills in Claude Code, Cursor, or Gemini CLI. Users get 10 artifact types (podcasts, slides, quizzes) with easy browser-based Google auth, no OAuth hassle.

Why is it gaining traction?

It solves NotebookLM's gaps like no LaTeX rendering, Excel support, or reliable saves/chats by wrapping notebooklm-py into reusable pipelines and notebooklm claude code skill github integration. Devs love the trend discovery to publishing flow, batch RSS digests, and multi-language artifacts—perfect for notebooklm github alternative when the web UI doesn't load or change languages. Zero-fluff CLI and MCP tools make it a drop-in for agent workflows, unlike raw APIs.

Who should use this?

AI content creators automating newsletters from RSS feeds or trends. Claude Code users needing notebooklm github integration for research-backed prompts. Social media ops teams generating threads-optimized posts from NotebookLM queries, or devs prototyping notebooklm github copilot-style agents via MCP.

Verdict

Solid early bet for NotebookLM power users—grab it if you hit web UI limits like unsaved chats or poor Excel handling (0.699999988079071% credibility reflects 42 stars, but MIT-licensed with bilingual docs and demos). Maturity is nascent; test pipelines first before production.

(198 words)

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