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notebooklm

Query Google NotebookLM notebooks for source-grounded answers via browser automation.

Updated Feb 24, 2026
Search Tags:#documentation#knowledge retrieval#notebooklm#google ai#research assistant#source-grounded answers
One-click install
npx skills add https://github.com/nonputtipong/Oryn --skill notebooklm-nonputtipong
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: notebooklm
Source: https://github.com/nonputtipong/Oryn/tree/main/.agent/skills/notebooklm
Command: npx skills add https://github.com/nonputtipong/Oryn --skill notebooklm-nonputtipong

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows you to directly query your Google NotebookLM notebooks, enabling you to get source-grounded, citation-backed answers from your uploaded documents without leaving your current workflow.

Core Features & Use Cases

  • Direct Notebook Querying: Ask questions and receive answers directly from your NotebookLM content.
  • Source Grounding: Answers are guaranteed to be based solely on your uploaded documents, reducing hallucinations.
  • Citation Backing: Answers include citations to the source material.
  • Use Case: You're working on a project and need to recall specific details from a research paper you uploaded to NotebookLM. You can ask the Skill to find that information, and it will provide a precise answer with a link to the source.

Quick Start

Use the notebooklm skill to ask "What are the main topics covered in my active notebook?".

Frequently Asked Questions about notebooklm

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

FAQPage Schema
How do I query my Google NotebookLM documents from an AI assistant?▼

You can query Google NotebookLM documents directly from an AI assistant by automating browser interaction to retrieve source-grounded answers with citations from your uploaded notebooks.

Can I get citation-backed answers from my uploaded research papers without leaving my workflow?▼

Yes, retrieving citation-backed answers from uploaded research papers is supported directly within your workflow, ensuring responses are grounded solely in your source documents to reduce hallucinations.

How do I manage and search my NotebookLM notebooks programmatically?▼

NotebookLM notebooks can be managed programmatically by executing Python scripts that handle authentication, activate notebooks, and perform searches to extract specific document details.

Does querying NotebookLM require Python scripts and browser automation?▼

Querying NotebookLM requires Python scripts for execution and relies on automated browser interaction to handle environment setup and authenticate your Google account for document access.

What is the best way to ensure source-grounded answers from my documentation?▼

The best way to ensure source-grounded answers from documentation is querying NotebookLM, which guarantees responses are based strictly on your uploaded sources and includes direct citations.

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