# Notebooklm Research

> Run YouTube-driven research in ArgentOS by searching videos and sending links into NotebookLM for synthesis and infographic outputs via youtube_notebooklm.

- **Type:** Skill
- **Install:** `agentstack add skill-argentaios-agent-skills-notebooklm-research`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ArgentAIOS](https://agentstack.voostack.com/s/argentaios)
- **Installs:** 0
- **Category:** [Content & Media](https://agentstack.voostack.com/c/content-and-media)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [ArgentAIOS](https://github.com/ArgentAIOS)
- **Source:** https://github.com/ArgentAIOS/agent-skills/tree/main/notebooklm-research

## Install

```sh
agentstack add skill-argentaios-agent-skills-notebooklm-research
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# NotebookLM Research

Use `youtube_notebooklm` when the user wants market research, trend mapping, competitor scans, or synthesis from YouTube sources through NotebookLM.

## Primary Action

Use `youtube_to_notebook_workflow` for end-to-end execution:

1. Search YouTube
2. Create NotebookLM notebook
3. Add videos as sources
4. Ask NotebookLM for analysis
5. Optionally generate/download infographic

First-run check:

- Call `setup_status` first. If `setupRequired: true`, run the returned
  `next_steps` commands before continuing.

## Fast Start

```json
{
  "action": "youtube_to_notebook_workflow",
  "query": "Claude Code skills marketing",
  "count": 10,
  "months": 6,
  "question": "What are the strongest recurring GTM patterns and differentiators across these videos?",
  "generate_infographic": true,
  "infographic_prompt": "Create a handwritten blueprint style infographic with GTM patterns, risks, and opportunities.",
  "infographic_orientation": "portrait",
  "infographic_detail": "detailed"
}
```

## Granular Actions

- `youtube_search`
- `setup_status`
- `notebook_create`
- `notebook_add_sources`
- `notebook_ask`
- `notebook_generate_infographic`

Use granular actions if the user wants custom sequencing or to reuse an existing notebook.

## Prerequisites

Install dependencies once:

```bash
pip install yt-dlp
pip install "notebooklm-py[browser]"
playwright install chromium
notebooklm login
```

If commands fail, report missing prerequisites and suggest the exact install/login command.

## Operating Notes

- Default recency filter is last 6 months (`months: 6`).
- Set `no_date_filter: true` to include all upload dates.
- Keep `wait_for_sources: true` for reliable downstream analysis.
- For stakeholder-ready output, enable `generate_infographic` and keep the prompt specific.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ArgentAIOS](https://github.com/ArgentAIOS)
- **Source:** [ArgentAIOS/agent-skills](https://github.com/ArgentAIOS/agent-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-argentaios-agent-skills-notebooklm-research
- Seller: https://agentstack.voostack.com/s/argentaios
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.