Query Google NotebookLM notebooks and manage sources via browser automation.
npx skills add https://github.com/sanjay3290/ai-skills --skill notebooklm-sanjay3290
Please help me install this Agent Skill. Skill: notebooklm Source: https://github.com/sanjay3290/ai-skills/tree/main/skills/notebooklm Command: npx skills add https://github.com/sanjay3290/ai-skills --skill notebooklm-sanjay3290
This Skill streamlines the process of interacting with Google NotebookLM, allowing users to query their notebooks, manage sources, and authenticate without manual browser interaction.
Ask NotebookLM a question about your active notebook by running 'python scripts/ask_question.py --question "What are the main arguments presented?"'.
High-intent search queries and answers about installing and using this skill.
You can query Google NotebookLM programmatically by running a Python script that uses Playwright for browser control. This allows you to ask single or batch questions to your notebooks and receive structured answers with citations without manual browser interaction.
Yes, you can manage NotebookLM sources by adding and syncing data programmatically. Authentication is handled securely using persistent browser profiles managed through Playwright, eliminating the need for manual login during automated workflows.
The best way to compare information across multiple NotebookLM notebooks is using batch question capabilities. This approach allows researchers and students to synthesize information by querying multiple notebooks simultaneously and exporting structured data.
Yes, Playwright is a required dependency for automating NotebookLM queries. It provides the necessary browser control and persistent profile management to handle authentication and interact with the Google NotebookLM interface programmatically.
Browser automation for NotebookLM supports structured data exports. When you query your notebooks programmatically, the skill outputs structured answers complete with citations, enabling downstream data processing and analysis.
Persistent browser profiles are used for NotebookLM authentication to maintain secure login sessions across script executions. This approach prevents repeated manual authentication steps during automated querying and source management workflows.
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