Query NotebookLM notebooks for source-grounded, citation-backed answers.
npx skills add https://github.com/jokken79/YuKyuDATA-app1.0v --skill notebooklm-jokken79
Please help me install this Agent Skill. Skill: notebooklm Source: https://github.com/jokken79/YuKyuDATA-app1.0v/tree/main/.agent/skills/notebooklm Command: npx skills add https://github.com/jokken79/YuKyuDATA-app1.0v --skill notebooklm-jokken79
This skill enables Claude Code to access NotebookLM content securely and provide source-grounded answers drawn only from your uploaded documents, reducing hallucinations during research.
Install the skill, authenticate with Google in a visible browser, then add notebooks to your library and start asking questions through the CLI.
High-intent search queries and answers about installing and using this skill.
This Skill queries NotebookLM notebooks to obtain source-grounded answers, ensuring responses are citation-backed and drawn only from your uploaded research documents to prevent hallucinations.
Yes, you can manage your NotebookLM library directly through Claude Code, using automated browser authentication to organize notebooks and switch contexts for stateless research sessions.
Browser automation for NotebookLM authentication uses a run.py wrapper to manage the virtual environment and dependencies, launching a visible browser for secure Google login during setup.
Yes, you need Python dependencies including patchright and python-dotenv, which are automatically managed by the run.py wrapper to handle the virtual environment and hybrid authentication flow.
The best way to prevent hallucinations is using source-grounded Q&A, which restricts answers to your NotebookLM library and provides cited sources for every response generated from your uploaded documents.
A stateless session model for document research means each query is independent, so switching notebooks and asking follow-up questions requires managing context manually across separate session interactions.
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