Query Google NotebookLM notebooks via Python browser automation scripts.
npx skills add https://github.com/bcastelino/agent-skills-kit --skill notebooklm-bcastelino
Please help me install this Agent Skill. Skill: notebooklm Source: https://github.com/bcastelino/agent-skills-kit/tree/main/skills/notebooklm Command: npx skills add https://github.com/bcastelino/agent-skills-kit --skill notebooklm-bcastelino
This Skill allows Claude Code to directly query your Google NotebookLM notebooks, providing source-grounded answers exclusively from your uploaded documents, drastically reducing hallucinations and eliminating manual copy-pasting.
Use the notebooklm skill to ask your API documentation notebook about authentication methods.
High-intent search queries and answers about installing and using this skill.
You can query your Google NotebookLM knowledge base from a code editor by running Python browser automation scripts. This approach uses Patchright to control the browser, handle Google authentication via persistent profiles, and retrieve synthesized, source-grounded answers from your uploaded documents.
Yes, you can get source-grounded answers without manual copy-pasting by leveraging Gemini's synthesis capabilities within NotebookLM. The automation retrieves answers based exclusively on your uploaded documents and includes citations, drastically reducing hallucinations compared to general web queries.
Browser automation handles Google authentication for NotebookLM by utilizing persistent browser profiles and cookie injection. This mechanism maintains your login session across script executions, ensuring seamless access to your notebooks without requiring manual re-authentication during automated queries.
Yes, you need Patchright to automate interactions with NotebookLM using Python. Patchright is a required dependency for browser control, enabling the scripts to navigate the NotebookLM interface, manage library notebooks, and execute chat queries within the application environment.
The best way to use NotebookLM for reducing hallucinations is to upload your API documentation as source documents and query them directly. Gemini synthesizes answers exclusively from these uploaded materials, providing cited responses that prevent ungrounded information from entering your research workflow.
Limitations when using browser automation to chat with NotebookLM include dependency on the browser interface and potential session management overhead. Because it relies on persistent profiles and cookie injection, changes to Google's authentication flow or NotebookLM's UI may require script updates.
giosuetedeschi-specAutomate browser interactions with Google NotebookLM to query uploaded documents.
brixtonphamQuery NotebookLM notebooks for source-grounded, citation-backed answers.
HaRu-LLCQuery Google NotebookLM notebooks to produce source-grounded, citation-backed answers.
hltcoeDeploy and query retrieval pipelines as a single RoutIR service.
