Does this skill require a Google account?

Yes, this skill uses browser automation to interact with your Google NotebookLM account. You must perform a one-time manual login during the setup process.

Is the browser always visible?

The browser is only required to be visible during the initial authentication setup. Subsequent queries can run in the background (headless mode).

Can I use this for multiple project libraries?

Yes, the notebook_manager script allows you to register, tag, and switch between multiple NotebookLM URLs for different projects.

Are there any usage limits?

The skill is subject to Google's NotebookLM rate limits, which are typically 50 queries per day for free accounts.

How does it reduce AI hallucinations?

It leverages NotebookLM's source-grounding, which restricts the AI to answering only based on the documents you have uploaded to your notebook.

NotebookLM Research Assistant

Name: NotebookLM Research Assistant
Author: claudiodearaujo

byclaudiodearaujo

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Learning & Documentation

Integrates Google NotebookLM with Claude Code to provide source-grounded, citation-backed answers directly from your private document libraries.

The NotebookLM Research Assistant skill bridges the gap between Claude Code and Google's source-grounded AI, enabling developers to query their own documentation with extreme precision. By utilizing browser automation and persistent authentication, it allows Claude to extract information exclusively from your uploaded NotebookLM sources, drastically reducing hallucinations. The skill includes a sophisticated library manager for organizing notebooks, a smart discovery feature to automatically identify document topics, and a mandatory follow-up mechanism that ensures no detail is missed in complex research tasks.

Key Features

01Automated browser session management with persistent Google authentication.

021 GitHub stars

03Comprehensive library management for adding, searching, and activating notebooks.

04Source-grounded answers from Gemini based exclusively on your uploaded documents.

05Smart Discovery mode to automatically identify notebook metadata and content.

06Recursive follow-up workflow to ensure complete information retrieval for complex queries.

Use Cases

01Querying internal technical documentation or legacy codebases stored in NotebookLM.

02Automating document-based insights during the coding and project planning phase.

03Verifying facts and citations against a specific, curated set of research papers.

Key Features

01Automated browser session management with persistent Google authentication.

021 GitHub stars

03Comprehensive library management for adding, searching, and activating notebooks.

04Source-grounded answers from Gemini based exclusively on your uploaded documents.

05Smart Discovery mode to automatically identify notebook metadata and content.

06Recursive follow-up workflow to ensure complete information retrieval for complex queries.

Use Cases

01Querying internal technical documentation or legacy codebases stored in NotebookLM.

02Automating document-based insights during the coding and project planning phase.

03Verifying facts and citations against a specific, curated set of research papers.