NotebookLM Research Agent
Autonomous research agent powered by Google NotebookLM. Ingests sources (URL, PDF, DOCX, YouTube, Drive), runs deep web research, asks cited questions, and generates artifacts — audio podcasts, video, slide decks, reports, quizzes, flashcards, mind maps, and study guides.
This skill wires Claude into Google NotebookLM (via notebooklm-py) to build a full research pipeline. It ingests sources from URLs, text, PDFs, DOCX, YouTube, and Google Drive, runs deep web research, synthesizes knowledge through cited Q&A, and produces NotebookLM's native artifact types. It can also draft original content from the synthesized research.
When to use
Use when researching a topic from multiple sources, turning articles or PDFs into a podcast or slide deck, generating cited research answers, or building flashcards, quizzes, and study guides from a source set.
Examples
Articles to podcast
Turn a set of source URLs into an audio overview
Ingest these 5 article URLs into a notebook and generate an audio podcast summarizing the key debates
Cited research report
Synthesize sources into a grounded answer
Research the state of small language models from my sources and write a cited report with a study guide