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notebooklm

Query NotebookLM notebooks for source-grounded, citation-backed answers.

Updated Jan 28, 2026
Search Tags:#workflow#authentication#source-grounded#notebooklm#browser-automation#library-management#document-search
One-click install
npx skills add https://github.com/brixtonpham/claude-config --skill notebooklm-brixtonpham
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: notebooklm
Source: https://github.com/brixtonpham/claude-config/tree/main/skills/notebooklm
Command: npx skills add https://github.com/brixtonpham/claude-config --skill notebooklm-brixtonpham

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

NotebookLM notebooks can be difficult to access and cite accurately; this skill provides a streamlined way to query notebooks and receive source-grounded, citation-backed answers from Gemini.

Core Features & Use Cases

  • On-demand NotebookLM querying with document-grounded responses.
  • Browser automation, library management, and persistent authentication for seamless workflows.
  • Use Case: Researchers and developers can retrieve exact information from uploaded documents and cite sources in Claude responses.

Quick Start

Ask NotebookLM a question about a notebook URL and get a grounded, citation-backed answer in seconds.

Frequently Asked Questions about notebooklm

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

FAQPage Schema
How do I query NotebookLM to get source-grounded answers with citations?▼

Query NotebookLM to get source-grounded answers by using browser automation to access a specific notebook URL and retrieving citation-backed responses directly from Gemini for your uploaded documents.

How do I automate persistent authentication for NotebookLM workflows?▼

Automate persistent authentication for NotebookLM workflows by configuring local Python scripts with environment variables using python-dotenv, ensuring seamless and ongoing browser access without manual logins.

Can I use PatchRight browser automation to search documents in NotebookLM?▼

Yes, you can use PatchRight browser automation to search documents in NotebookLM, as the skill orchestrates PatchRight to manage library access and retrieve document-only responses from your specified notebook URL.

What's the best way to retrieve exact information from uploaded NotebookLM documents?▼

The best way to retrieve exact information from uploaded NotebookLM documents is using this skill's library management feature, which restricts responses to document-only answers and provides source citations for accurate research.

Do I need Python and a local environment to run NotebookLM document searches?▼

Yes, you need a local environment with Python to run NotebookLM document searches, because the skill relies on local Python scripts, Patchright-based browser automation, and python-dotenv configuration to operate.

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