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,
Installs just this skill. Get the whole plugin for auto-invocation.
⚡ How it fires
How this skill gets triggered: by you, by Claude, or both.
Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/deep-research-notebooklm
👁️ Context preview
The summary Claude sees to decide when to auto-load this skill.
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,
📊 Stats
Stars29,853
Forks3,189
LanguagePython
LicenseMIT
📦 Ships with claude-code-templates
</> SKILL.md
deep-research-notebooklm.SKILL.md
---name: deep-research-notebooklm
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)."
---# 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.
**Mode selection:**
- Default: `"fast"` (~60 seconds, ~10 sources) -- good for most queries
- Use `"deep"` only if the user explicitly asks for exhaustive research (can take 10+ minutes and may stall at 0 sources)
**Tip:** Run direct `WebSearch` calls in parallel with NotebookLM for faster initial data gathering while the research engine works.
Poll `research_status` until complete. Use the `query` parameter as fallback matching -- task IDs can change between `research_start` and `research_status` calls.
### Step 5: Import Discovered Sources
Use `research_import` to bring discovered sources into the notebook for deeper analysis.
### Step 6: Query for Insights
Use `notebook_query` to ask 3-5 targeted questions based on the research type:
1. **Overview**: "What are the key findings about [topic]?"
2. **Opportunities**: "What opportunities or gaps exist in this space?"
3. **Actions**: "What are the most actionable insights from this research?"
4. **Risks**: "What are the main risks, challenges, or counterarguments?"
5. **Custom**: A question specific to the research type (e.g., "Who are the top 5 competitors and how do they differentiate?" for competitive intel)
### Step 7: Write Research Brief
Save the findings to a local file using the research brief template:
Use the template from [research-brief-template.md](research-brief-template.md) to structure the output. Create the `research/` directory if it does not exist.
### Step 8: Present Takeaways
After saving, present the user with:
- **3-5 headline findings** (bullets, direct, no filler)
- **1-2 recommended actions** connected to the user's stated goals
- **Surprises or contrarian findings** -- anything that challenges assumptions
- **The file path** where the full brief is saved
- **The NotebookLM notebook URL** so the user can explore sources directly
### Step 9 (Optional): Generate Studio Artifacts
Ask the user: "Want me to generate any artifacts from this research? Options: slides, audio (podcast), video, infographic, report, mind map."
If yes, use `studio_create` with the notebook_id from Step 2.
**Available artifact types and recommended settings:**
| Type | Key params | Best for |
|------|-----------|----------|
| `slide_deck` | `slide_format`: `detailed_deck` or `presenter_slides`; `slide_length`: `short` or `default` | Executive presentations, client pitches |
| `audio` | `audio_format`: `deep_dive`, `brief`, `critique`, or `debate`; `audio_length`: `short`, `default`, `long` | Podcast-style deep dives, learning on the go |
| `video` | `video_format`: `explainer`, `brief`, `cinematic`; `visual_style`: `auto_select`, `classic`, `whiteboard`, etc. | Visual explainers, social media content |
| `infographic` | `orientation`: `landscape`, `portrait`, `square`; `infographic_style`: `professional`, `bento_grid`, etc. | One-pagers, social sharing |
| `report` | `report_format`: `Briefing Doc`, `Study Guide`, `Blog Post`, `Create Your Own` | Written deliverables, summaries |
