Query Google NotebookLM notebooks for citation-backed answers via browser automation.
npx skills add https://github.com/delorenj/skills --skill notebooklm-delorenj
Please help me install this Agent Skill. Skill: notebooklm Source: https://github.com/delorenj/skills/tree/main/notebooklm Command: npx skills add https://github.com/delorenj/skills --skill notebooklm-delorenj
NotebookLM Skill enables Claude Code to query Google NotebookLM notebooks and obtain source-grounded, citation-backed answers. It provides browser automation, library management, and persistent authentication to keep knowledge sources easily accessible for ongoing work.
Set up authentication, add a NotebookLM notebook URL to the library, then ask questions against that notebook.
High-intent search queries and answers about installing and using this skill.
Query NotebookLM notebooks by authenticating once with a visible browser, adding notebook URLs to your library, then asking questions against them. Claude Code retrieves source-grounded, citation-backed answers directly from your notebooks without needing to re-authenticate.
Yes. This Skill automates NotebookLM interactions via Patchright browser automation, managing persistent browser state and authentication so you can query notebooks programmatically from Claude Code while maintaining session continuity.
Source-grounded means answers are tied directly to notebook content with citations showing where each piece came from. This enables reliable knowledge management by proving every answer traces back to your original documents.
Manage your notebook library by adding URLs, listing active notebooks, activating specific ones, and removing notebooks as needed. The Skill persists your library state so you can switch between notebooks without re-adding them.
Set up a Python virtual environment, authenticate once with Google through a visible browser window, and add at least one NotebookLM notebook URL. After initial setup, subsequent queries run without re-authentication.
Yes. The Skill runs locally using Python, Patchright for browser automation, and a persistent browser state managed in your isolated virtual environment, enabling full offline notebook querying after initial authentication.
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