NotebookLM Research & Content Studio
Integrates NotebookLM's RAG and content generation engine into Claude Code to manage research, synthesize knowledge, and create multimedia artifacts.
This skill connects Claude Code to the NotebookLM ecosystem via MCP, allowing developers and researchers to offload heavy reading tasks to an external RAG engine. It enables sophisticated knowledge management by organizing sources from Google Drive, URLs, and local files into themed notebooks. Beyond research, the skill provides programmatic access to NotebookLM's Studio features, including the generation of AI-narrated cinematic videos, multi-format podcasts (Deep Dive, Debate, etc.), and editable slide decks, all while preserving context window efficiency for Claude.
주요 기능
01Batch operations for querying and managing multiple notebooks simultaneously
02136 GitHub stars
03External RAG engine to offload large-scale document reading from the context window
04Advanced research discovery for asynchronous web and Drive data harvesting
05Automated source management for URLs, Google Drive, YouTube, and local files
06Multimedia artifact generation including cinematic videos and four distinct audio formats
사용 사례
01Generating educational content like AI-narrated podcasts or slides from technical specifications
02Building a synchronized 'Second Brain' for complex development projects using multi-source synthesis
03Managing large-scale project documentation and technical research without exhausting token limits