How do I install the Notebooklm skill?

Run npx skillmds@latest add allyoushawn/notebooklm in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Notebooklm skill do?

Use this skill when working with Google NotebookLM — creating/querying notebooks, managing sources, or running research workflows via the notebooklm-mcp MCP server. It is listed under AI & ML on SkillMD.

Is Notebooklm safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Notebooklm?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Notebooklm free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Notebooklm?

allyoushawn (@allyoushawn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Notebooklm by allyoushawn — Agent Skill

Name: Notebooklm
Author: allyoushawn

File contents

NotebookLM (lite MCP)

MCP server: notebooklm-mcp (11 tools). Script: ~/.claude/notebooklm_mcp_lite.py. Full 35-tool server available at /path/to/works/for/you/.local/bin/notebooklm-mcp. Auth: run nlm login. Refresh mid-session: refresh_auth.

Tools

Tool	Notes
`notebook_list`	List all notebooks
`notebook_get`	Get notebook details, including sources list
`notebook_create`	Create a new notebook
`notebook_delete`	Requires `confirm=True` after user approval
`source_add`	Add url / text / drive / file (PDFs via `file_path`)
`source_delete`	Requires `confirm=True`; accepts `source_id` or `source_ids`
`notebook_query`	Query existing sources only
`refresh_auth`	Re-authenticate mid-session
`research_start`	Start web or Drive search for new sources
`research_status`	Poll research job; use `compact=False` to review hits
`research_import`	Import after complete; use `source_indices` to pick a subset

Common workflows

Query an existing notebook: notebook_list → notebook_query(notebook_id=..., query=...)

Add a source: notebook_get to confirm notebook ID → source_add(notebook_id=..., url=...)

Research workflow (find and import new sources):

research_start(notebook_id=..., query=..., source_type="web")
research_status(job_id=..., compact=False) — poll until complete, review hits
research_import(job_id=..., source_indices=[0, 2, 4]) — import chosen subset

Destructive operations: always require confirm=True; ask user before calling.

Frequently asked questions

Notebooklm