notebook-lm-research

Analyzes documents and synthesizes research with citations using NotebookLM.

6|1|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/CleanExpo/ATO --skill notebook-lm-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: notebook-lm-research
Source: https://github.com/CleanExpo/ATO/tree/main/.agent/skills/notebook_lm_research
Command: npx skills add https://github.com/CleanExpo/ATO --skill notebook-lm-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables deep document analysis and research synthesis using NotebookLM to ground long-context content for informed decision-making.

Core Features & Use Cases

  • Deep document analysis and grounding across PDFs, articles, and reports using NotebookLM.
  • Multi-source research synthesis with themes, gaps, and citations, tailored for content creation workflows.
  • Quick-citation mapping and knowledge-base building to support literature reviews.

Quick Start

Instruct the AI to ingest your sources, run initial analysis, and generate a synthesis with citations.

Frequently Asked Questions about notebook-lm-research

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

FAQPage Schema
What is research synthesis for long-context documents?

Research synthesis for long-context documents involves analyzing multiple sources like PDFs and reports to extract themes, identify gaps, and generate structured summaries with citations. This Skill uses NotebookLM to ground content and build a comprehensive knowledge base.

Do I need a NotebookLM account to extract citations from multiple sources?

Yes, NotebookLM access is required to extract citations and perform multi-source research synthesis. The Skill relies on NotebookLM to ground long-context documents and generate structured outputs like executive summaries and themes.

How do I build a knowledge base from PDFs and articles for a literature review?

Instruct the AI to ingest your PDFs, articles, and reports, then run an initial analysis to generate a synthesis. The Skill will map quick-citations and structure themes across sources to support your literature review.

Can I use this for multi-source research across different content creation workflows?

Yes, this Skill supports multi-source research synthesis tailored specifically for content creation workflows. It analyzes long-context documents, extracts citations, and structures outputs to inform content creation and decision-making.

What's the best way to ground deep document analysis for executive summaries?

Use NotebookLM to ingest your long-context sources and run initial analysis. This Skill grounds the documents to produce structured outputs, including executive summaries, identified themes, and mapped citations for informed decision-making.

What are the limitations of using NotebookLM for long-context research synthesis?

The Skill requires NotebookLM access to function and does not list external dependencies. Limitations would stem from NotebookLM's own context window capacities and its ability to parse specific document formats during the ingestion process.