notebooklm

Automate NotebookLM research notebooks, source ingestion, querying, and AI artifact generation.

4|4|Updated Apr 6, 2026

Search Tags:#research #content generation #knowledge base #notebooklm #google drive #ai artifacts #web discovery

Ready to run

npx skills add https://github.com/Roentek/Claude_Code_Boilerplate_Framework --skill notebooklm-roentek

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: notebooklm
Source: https://github.com/Roentek/Claude_Code_Boilerplate_Framework/tree/main/.claude/skills/notebooklm
Command: npx skills add https://github.com/Roentek/Claude_Code_Boilerplate_Framework --skill notebooklm-roentek

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Google NotebookLM operations are slow and fragmented when you need to create research notebooks, ingest sources, analyze findings, and generate output content without juggling manual UI steps.

Core Features & Use Cases

Research notebook creation & management: Create notebooks, import sources from URLs, raw text, or Google Drive file IDs, then sync and manage research workflows.
Notebook querying for analysis: Ask targeted questions to retrieve summaries and key findings from the notebook’s ingested sources.
AI content generation from research: Generate shareable artifacts such as audio podcasts, video briefings, slide decks, flashcards, and infographic content to transform research into deliverables.

Use Case: Build a “Market Trends” notebook from web links and Drive docs, query it for top themes and evidence, then generate a briefing and a podcast-style overview for stakeholders.

Quick Start

Use the notebooklm skill to create a notebook and start a web/Drive research run for “enterprise AI ROI metrics.”

Frequently Asked Questions about notebooklm

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

FAQPage Schema

How do I automate creating a Google NotebookLM research notebook from web links and Google Drive files?▼

Automate Google NotebookLM research notebook creation by ingesting sources from URLs, raw text, or Google Drive file IDs. This skill syncs imported content automatically, eliminating manual UI steps for building knowledge bases from web discovery and Drive documents.

Can I generate a podcast or slide deck directly from my research sources in Google NotebookLM?▼

Generate shareable AI artifacts like audio podcasts, video briefings, flashcards, infographics, and slide decks directly from NotebookLM sources. The skill transforms accumulated research into deliverables without manual content formatting.

What is the best way to query multiple research sources for structured analysis without leaving my workflow?▼

Query multiple research sources for structured analysis by asking targeted questions directly through the NotebookLM CLI. Retrieve summaries and key findings from ingested sources using authenticated sessions, defaulting to MCP tools for multi-step interactive flows.

Do I need to authenticate my Google account to use NotebookLM for source ingestion and querying?▼

Authenticate your Google account using the nlm login command before using NotebookLM for source ingestion and querying. This establishes the required authenticated session needed to manage research notebooks and generate AI artifacts.

What types of AI artifacts can I produce from a NotebookLM knowledge base?▼

Produce audio podcasts, video briefings, slide decks, flashcards, and infographic content from a NotebookLM knowledge base. The skill automates AI content generation to turn structured source analysis into shareable stakeholder outputs.

Why does manual Google NotebookLM content generation slow down research workflows?▼

Manual Google NotebookLM operations slow research workflows by forcing fragmented UI steps for notebook creation, source ingestion, and querying. This skill automates the entire pipeline to prevent context switching and accelerate shareable output production.