Query NotebookLM notebooks to synthesize grounded answers from uploaded documents.
npx skills add https://github.com/arendon1/agent-skills --skill notebooklm-skill
Please help me install this Agent Skill. Skill: notebooklm-skill Source: https://github.com/arendon1/agent-skills/tree/main/notebooklm-skill Command: npx skills add https://github.com/arendon1/agent-skills --skill notebooklm-skill
Helps AI agents perform deep, multi-source research by querying NotebookLM and grounding results in uploaded documents.
To start, run a query against a NotebookLM notebook using the unified bridge to retrieve a grounded answer.
High-intent search queries and answers about installing and using this skill.
Automate cross-document research by using a script-based bridge to query NotebookLM, grounding synthesized answers in your uploaded PDFs, docs, and web sources. This enables agents to retrieve cited multi-source summaries programmatically.
Grounded cross-source synthesis queries your NotebookLM document library to generate answers strictly based on uploaded PDFs, docs, and web sources. It ensures agent responses are backed by citations from your local data store.
Yes, you can generate summaries and mind maps from your document library through browser automation. The Skill uses a modular script architecture to drive NotebookLM, producing grounded artifacts like quizzes and reports.
Yes, patchright is required as a dependency to run the browser automation scripts. The Skill relies on it alongside notebooklm-py to execute deterministic queries and manage notebook state locally.
The best way to organize and query multiple notebooks is using the local data store for libraries and state. The modular run wrapper executes deterministic scripts to discover, ingest, and query notebooks with metadata and citations.
Inconsistent grounded document synthesis during automated queries often stems from non-deterministic execution. The Skill solves this by using a modular script architecture with a run wrapper to ensure deterministic execution and stable state management.
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