Agent skill · research science · davila7

deep-research-notebooklm

Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs and optional studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps).

Why this skill is useful

Provides structured workflows and commands for conducting multi-source research using NotebookLM, which the AI wouldn't reliably generate on its own.

What it needs

Requires notebooklm installed locally. About 4k tokens when loaded. Last updated 2026-08-06. 30,138 stars on the source repository.

What this skill does

Deep Research via NotebookLM Research $ARGUMENTS deeply using the NotebookLM MCP server and deliver a structured research brief. Optionally generate studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps) from the research. Prerequisites NotebookLM MCP server must be configured. Install via: nlm setup add claude-code If NotebookLM MCP tools are not available, tell the user to run the setup command and restart their session. Research Workflow Step 1: Define Scope Determine the research type based on the user's request: Type Focus ------ ------- Market Research Industry trends, market sizing, opportunities, TAM/SAM/SOM Competitive Intel Competitor analysis, positioning gaps, feature comparisons Client/Prospect Research Company background, pain points, decision makers, recent news Trend Analysis Technology trends, adoption patterns, forecasts, emerging players Proposal Research Background for proposals, sector-specific data, case studies Academic/Technical Papers, frameworks, methodologies, state of the art Tell the user what you plan to research and confirm the angle: "I'll research [topic]. My angle: [specific focus]. I'll investigate: [2-3 specific questions]. Sound right, or should I adjust?" Wait for confirmation before proceeding. Step 2: Create NotebookLM Notebook Use notebookcreate to create a notebook named: Research: [Topic] - [YYYY-MM-DD] Step 3: Add Context Sources Use sourceadd to seed the notebook with relevant context: Add any URLs the user provides (articles, company pages, reports) Add any documents or files the user references Add text summaries of relevant background if no URLs are available If researching a company, add their website, LinkedIn, recent press Step 4: Run Research Use researchstart with a well-crafted query based on the topic and context. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills davila7/deep-research-notebooklm

View the source on GitHub

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