Does this skill require a Google account?

Yes, you need a Google account with access to NotebookLM. You will need to perform a one-time manual login via a visible browser window during the setup process.

How does this skill reduce AI hallucinations?

It queries Google NotebookLM, which is designed to provide answers based exclusively on the documents you have uploaded, providing citations for every response.

What is the 'run.py' wrapper for?

The run.py wrapper is a critical component that automatically manages your virtual environment, installs dependencies, and ensures scripts run with the correct Python context.

Is my authentication data secure?

Yes, all authentication tokens and browser cookies are stored locally in your ~/.claude/skills/ directory and are protected by .gitignore to prevent accidental commits.

Can I manage multiple notebooks?

Absolutely. The skill includes a notebook manager that allows you to add, list, search, and activate different notebooks from your Google account.

NotebookLM Research Assistant

Name: NotebookLM Research Assistant
Author: prof-ramos

byprof-ramos

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학습 및 문서화

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

소개

The NotebookLM Research Assistant skill bridges the gap between Claude Code and Google's source-grounded AI, NotebookLM. By leveraging browser automation, it allows developers to query their curated notebooks, manage document libraries, and retrieve answers that are strictly limited to their own uploaded sources to virtually eliminate hallucinations. This skill is ideal for projects requiring high-fidelity documentation lookup, research synthesis, and technical troubleshooting based on specific internal or external document sets, all while maintaining a persistent authenticated session.

주요 기능

Automated browser management for persistent and secure Google authentication
1 GitHub stars
Automated recursive follow-up mechanism to ensure comprehensive data retrieval
Source-grounded querying via Gemini's document-only response engine
Integrated library management to search, activate, and organize notebooks
Smart notebook discovery that automatically identifies content and metadata

사용 사례

Synthesizing information from private knowledge bases without leaving the terminal
Querying complex technical documentation for citation-backed implementation details
Researching project requirements across multiple uploaded PDF or text sources

소개

주요 기능

Automated browser management for persistent and secure Google authentication
1 GitHub stars
Automated recursive follow-up mechanism to ensure comprehensive data retrieval
Source-grounded querying via Gemini's document-only response engine
Integrated library management to search, activate, and organize notebooks
Smart notebook discovery that automatically identifies content and metadata

사용 사례

Synthesizing information from private knowledge bases without leaving the terminal
Querying complex technical documentation for citation-backed implementation details
Researching project requirements across multiple uploaded PDF or text sources