Query Google NotebookLM notebooks for source-grounded, citation-backed answers via Gemini.
npx skills add https://github.com/magicseek/nblm --skill nblm
Please help me install this Agent Skill. Skill: nblm Source: https://github.com/magicseek/nblm/tree/main Command: npx skills add https://github.com/magicseek/nblm --skill nblm
This Skill allows you to interact with your Google NotebookLM notebooks directly from your AI coding assistant, enabling you to ask questions and get answers grounded in your own documents.
Use the nblm skill to ask your active notebook what the main findings of the document are.
High-intent search queries and answers about installing and using this skill.
You can get source-grounded answers by querying your Google NotebookLM notebooks directly from your AI coding assistant using Gemini. This ensures responses are derived exclusively from your uploaded documents, significantly reducing hallucinations and providing citation-backed answers.
Yes, you can upload local files or URLs directly into your NotebookLM notebooks using browser automation. The Skill leverages agent-browser and patchright to manage library content and provides persistent authentication for reliable document uploads.
The best way to manage multiple NotebookLM notebooks is using this Skill's notebook management features, which allow you to easily add, list, and activate specific notebooks. This ensures your document Q&A queries target the correct active library.
Yes, querying NotebookLM requires persistent authentication to maintain access to your Google notebooks. The Skill handles this authentication process automatically, allowing your AI coding agent to continuously interact with your document libraries without manual login interruptions.
You can parse and query PDFs, EPUBs, and HTML documents for citation-backed answers. The Skill utilizes pypdf, ebooklib, and beautifulsoup4 dependencies to process these formats, enabling source-grounded document Q&A directly within your AI assistant.
AI assistants hallucinate because they lack specific document context. By querying NotebookLM with Gemini through this Skill, responses are derived exclusively from your uploaded research papers, ensuring source-grounded, citation-backed answers that eliminate fabricated information.
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