# Deep Research Notebooklm

Deep research skill powered by NotebookLM MCP.

- Repository: https://github.com/davila7/claude-code-templates (33041 stars)
- Category: Documents
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add davila7/claude-code-templates --skill deep-research-notebooklm -g -a claude-code -y`
Codex: `npx skills add davila7/claude-code-templates --skill deep-research-notebooklm -g -a codex -y`
Cursor: `npx skills add davila7/claude-code-templates --skill deep-research-notebooklm -g -a cursor -y`
Gemini CLI: `npx skills add davila7/claude-code-templates --skill deep-research-notebooklm -g -a gemini-cli -y`

## Description

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).

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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 `notebook_create` to create a notebook named:
`Research: [Topic] - [YYYY-MM-DD]`

### Step 3: Add Context Sources

Use `source_add` 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 `research_start` with a well-crafted query based on the topic and context.

The rest: https://github.com/davila7/claude-code-templates/blob/HEAD/cli-tool/components/skills/ai-research/deep-research-notebooklm/SKILL.md