Skills / Data / NotebookLM Research Agent

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.

notebooklm research rag podcast content

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
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