nblm

What This Skill Does

The nblm skill is a powerful interface for Google NotebookLM, designed to integrate directly into your development workflow via OpenClaw. It serves as a bridge that allows you to query your private, source-grounded research notebooks without leaving your CLI environment. By leveraging Gemini-powered retrieval, the skill provides responses strictly based on your provided documents, effectively mitigating the common issue of AI hallucinations. Whether you are managing academic papers, technical documentation, or project archives, nblm ensures your answers are supported by specific citations from your own data.

Installation

Installation is handled through the ClawHub system. Execute the following command in your terminal: clawhub install openclaw/skills/skills/magicseek/nblm

Once installed, the run.py script manages the lifecycle of the environment. It automatically detects if a virtual environment is missing, provisions necessary Python and Node.js dependencies, and handles persistent authentication through a browser-based OAuth flow. No manual configuration of API keys is required; the tool streamlines the entire process so you can start querying immediately.

Use Cases

• Technical Documentation: Maintain a repository of API docs or library specifications and query them to get exact syntax or implementation details.
• Academic Research: Upload PDFs and papers to a notebook to get summarizations, compare arguments, or perform literature reviews.
• Knowledge Management: Use the folder sync feature to keep your local projects in sync with a dedicated NotebookLM research hub for rapid, grounded searching.
• Content Creation: Quickly draft articles or summaries based on a library of YouTube videos, URLs, and local files indexed by your notebook.

Example Prompts

1. "nblm activate 12345 && nblm ask 'Based on the uploaded technical specs, what is the standard timeout configuration for the API?'"
2. "nblm upload ./my-project-docs/ --use-active"
3. "nblm summary --id 67890"

Tips & Limitations

For the best results, always structure your notebooks by topic to ensure the retrieval context remains highly relevant. When using the upload command, be aware that specifying a target notebook is recommended to prevent accidental clutter in your default workspace. The skill performs best when sources are clean and properly indexed. Remember that since this relies on the Google NotebookLM API, you must have an active internet connection, and the tool is strictly limited to the data contained within your notebooks—it will not hallucinate external web data if it is not found within your sources.