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notebooklm

Query NotebookLM notebooks from Claude Code with source-grounded answers.

Updated Dec 17, 2025
Search Tags:#NotebookLM#Claude Code#notebook#browser-automation#grounded#session-auth#library-management
One-click install
npx skills add https://github.com/miethe/meatycapture --skill notebooklm-miethe
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: notebooklm
Source: https://github.com/miethe/meatycapture/tree/main/.claude/skills/notebooklm-skill
Command: npx skills add https://github.com/miethe/meatycapture --skill notebooklm-miethe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires patchright, python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill enables Claude Code to query NotebookLM notebooks directly and receive source-grounded, citation-backed answers, all through a local browser workflow.

Core Features & Use Cases

  • Grounded Q&A: Answers are derived exclusively from uploaded NotebookLM content, reducing hallucinations.
  • Library Management: Create, list, search, and activate notebooks in a local library, enabling quick context switching.
  • Authentication & Automation: Hybrid authentication with a persistent browser profile and session cookies injection for reliability.

Quick Start

  • Install and run via the run.py wrapper: python scripts/run.py auth_manager.py setup
  • Add a NotebookLM notebook: python scripts/run.py notebook_manager.py add --url "<notebook-url>" --name "<name>" --description "<description>" --topics "<topics>"
  • Ask a question: python scripts/run.py ask_question.py --question "Your question" --notebook-id <id>

Frequently Asked Questions about notebooklm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query NotebookLM notebooks from Claude Code?▼

You can query NotebookLM notebooks from Claude Code by running a local Python script that uses a persistent browser profile and manual cookie injection to return source-grounded answers.

How does grounded Q&A with NotebookLM reduce hallucinations?▼

Grounded Q&A with NotebookLM reduces hallucinations by deriving answers exclusively from your uploaded notebook content, ensuring the responses are backed by citations from the source material.

Do I need a specific browser environment to automate NotebookLM queries?▼

Yes, you need a local Python environment with a Chrome browser installed via Patchright to automate NotebookLM queries and maintain session persistence.

How do I manage multiple NotebookLM notebooks for quick context switching?▼

You manage multiple NotebookLM notebooks by using the local library management feature to create, list, search, and activate notebooks based on their URLs, names, and topics.

Can I use session cookies for authentication when automating NotebookLM?▼

Yes, the automation workflow uses a hybrid authentication approach that injects session cookies into a persistent browser profile during each query for reliable access.

What are the limitations of running a stateless NotebookLM browser workflow?▼

The stateless workflow requires manual cookie injection for each query session and depends on having NotebookLM URLs pre-configured in your local library before querying.

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