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notebooklm

Automate research and answer retrieval from Google NotebookLM using browser automation.

Updated Feb 26, 2026
Search Tags:#source-grounded#notebooklm#ai-research#document-based#claudocode
One-click install
npx skills add https://github.com/christhz666/centro-diagnostico-v11 --skill notebooklm-christhz666
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: notebooklm
Source: https://github.com/christhz666/centro-diagnostico-v11/tree/main/.skills/notebooklm
Command: npx skills add https://github.com/christhz666/centro-diagnostico-v11 --skill notebooklm-christhz666

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill solves the problem of inefficient and error-prone research by providing direct access to Google NotebookLM, allowing Claude Code users to ask questions and receive answers based on their uploaded documents, eliminating the need for manual copy-paste and reducing the risk of information misinterpretation.

Core Features & Use Cases

  • Source-Grounded Responses: Answers are derived exclusively from your uploaded documents, ensuring accuracy and reducing hallucinations.
  • Direct Integration: Seamless integration with Claude Code, eliminating the need for manual copy-paste between browsers and editors.
  • Smart Library Management: Add and manage NotebookLM notebooks with tags and descriptions for easy access and organization.
  • Automatic Authentication: One-time Google login for persistent authentication across sessions.

Quick Start

Say "Set up NotebookLM authentication" to start the setup process. Then, say "Add this NotebookLM to my library: [your-link]" to add a new notebook. Once your notebooks are added, you can ask questions like "What does my React docs say about hooks?" to get informed answers directly from your documents.

Frequently Asked Questions about notebooklm

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

FAQPage Schema
How do I automate source-grounded research from my documents using Claude Code?▼

This skill automates source-grounded AI research by connecting Claude Code to Google NotebookLM. It uses browser automation to query your uploaded documents directly, retrieving answers without manual copy-paste and reducing hallucinations.

How do I connect Google NotebookLM to my coding environment for document-based queries?▼

You connect NotebookLM by completing a one-time Google login setup for persistent authentication. Once authenticated, you add notebook links to your library and ask questions directly in your environment to retrieve source-grounded answers.

Do I need patchright and python-dotenv to run browser automation for NotebookLM?▼

Yes, you need patchright, python-dotenv, requests, and other Python libraries. These dependencies handle browser automation, environment variable management, and HTTP requests to access NotebookLM programmatically.

What's the best way to prevent AI hallucinations when querying my uploaded research documents?▼

Using a source-grounded approach is the best way to prevent hallucinations. By forcing the AI to retrieve answers exclusively from your uploaded documents in NotebookLM, you ensure accuracy and eliminate information misinterpretation.

How do I manage multiple NotebookLM notebooks within my coding workflow?▼

You can manage multiple notebooks using the skill's smart library management feature. It allows you to add NotebookLM links with specific tags and descriptions, enabling easy organization and access for different research queries.

Why does my NotebookLM browser automation fail to maintain its session?▼

Browser automation sessions fail if the initial authentication is not completed properly. You must perform the one-time Google login setup correctly to establish persistent authentication across your subsequent NotebookLM queries.

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