# deep-research-notebooklm

Runs multi-source research on NotebookLM and writes a structured brief to a local file, with optional slides, podcasts or reports.

- skill · `type=skill` · Claude Code · 115 installs
- Author: davila7
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/deep-research-notebooklm
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/deep-research-notebooklm

## What it does

The skill lays out the research as steps. It picks a research type first — market, competitive intel, prospect, trend, proposal or academic — confirms the angle with you, then creates a NotebookLM notebook, seeds it with your URLs and documents, starts research and imports the sources it finds. After that the agent asks a few targeted questions, pulls the answers together and saves the brief to `research/[topic-slug]-[YYYY-MM-DD].md` using `research-brief-template.md`. The `research/` folder is created if missing.

You need the NotebookLM MCP server configured: `nlm setup add claude-code`. Without it the tools the skill calls — `notebook_create`, `research_start`, `notebook_query` — are not there, so check the setup before you run anything. Fast mode is the recommended default; deep mode goes longer and can stall at zero sources, so the skill suggests it only when you ask for exhaustive coverage.

Once the brief is saved you can request studio artifacts: a slide deck, audio podcast, video, infographic, report or mind map. They are generated with `studio_create`, tracked through `studio_status` and saved with `download_artifact`. Audio and video take longer to finish than slides.

## Install

### Claude Code (native platform)

1. **claude-code-templates**
```bash
npx claude-code-templates@latest --skill ai-research/deep-research-notebooklm
```

2. **Skills CLI (Vercel)**
```bash
npx skills add davila7/claude-code-templates --skill deep-research-notebooklm -a claude-code
```

3. **Manually: put the files in place**
- File: `~/.claude/skills/deep-research-notebooklm/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/deep-research-notebooklm/

### Codex

**Manually: put the files in place**
- File: `.agents/skills/deep-research-notebooklm/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

**Manually: put the files in place**
- File: `.cursor/skills/deep-research-notebooklm/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install davila7/claude-code-templates deep-research-notebooklm
```

2. **Manually: put the files in place**
- File: `.github/skills/deep-research-notebooklm/SKILL.md`

### Gemini CLI

**Platform CLI**
```bash
gemini skills install https://github.com/davila7/claude-code-templates --path cli-tool/components/skills/ai-research/deep-research-notebooklm
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/deep-research-notebooklm/SKILL.md` — The legacy .windsurf/skills/ path still works

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/deep-research-notebooklm

## When to use it
- build a market brief with cited sources
- map competitors by positioning and features
- prep a prospect dossier before a call
- turn finished research into a podcast or slide deck
- surface risks and counterarguments on a topic

## Example prompts
- research the CI/CD market for small teams
- run competitive intel on three rivals and save the brief
- generate an audio podcast from this research

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From the same set: [davila7/claude-code-templates](https://affpapa.org/en/nevibecode/by/davila7/claude-code-templates.md) — 238 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md