notebooklm

Automate Google NotebookLM notebook creation, source ingestion, and artifact generation.

5|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/oldwinter/skills --skill notebooklm-oldwinter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: notebooklm
Source: https://github.com/oldwinter/skills/tree/main/tools-skills/notebooklm
Command: npx skills add https://github.com/oldwinter/skills --skill notebooklm-oldwinter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates interactions with Google NotebookLM, streamlining the process of creating notebooks, managing sources, and generating various content artifacts from your research.

Core Features & Use Cases

  • Notebook Management: Create, manage, and interact with notebooks.
  • Source Ingestion: Add URLs, documents, and perform web research as sources.
  • Artifact Generation: Generate podcasts, videos, quizzes, reports, and more.
  • Use Case: Automatically create a podcast summarizing a set of research articles added to a NotebookLM notebook.

Quick Start

Use notebooklm to create a new notebook titled "Project Alpha Research".

Frequently Asked Questions about notebooklm

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

FAQPage Schema
How do I automate Google NotebookLM workflows for notebook creation and source ingestion?

Automate Google NotebookLM workflows by using scripts to create notebooks, add URLs or files as sources, and perform deep web research. This streamlines the process of managing research materials and ingesting bulk imports without manual intervention.

Can I automatically generate podcasts and videos from my research articles in NotebookLM?

Yes, you can automatically generate podcasts, videos, quizzes, and reports from your research articles in NotebookLM. The automation supports artifact generation directly from the sources added to your notebooks.

What is the best way to perform bulk imports of documents into a NotebookLM notebook?

The best way to perform bulk imports into a NotebookLM notebook is through automated subagent workflows. This allows you to add multiple URLs or files as sources simultaneously, streamlining the ingestion process for large research datasets.

Does this NotebookLM automation support interactive chat and detailed output formatting?

Yes, this NotebookLM automation supports interactive chat with your notebooks and provides options for detailed output formatting. You can interact with your sources and format the generated artifacts according to your specific research needs.

How do deep web research and automated subagent workflows function within NotebookLM?

Deep web research functions within NotebookLM by utilizing automated subagent workflows to gather and add sources directly to your notebooks. This enables comprehensive research collection and ingestion without manual browsing and uploading.