Use Case
NotebookLM Python API & Skill isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Unofficial Python API and agentic skill for Google NotebookLM. Exposes capabilities the official web UI doesn't β programmatic notebook creation, source document management, audio overview generation, and research query automation β all accessible via Python, CLI, or directly from Claude Code and Codex agents. Uniquely bridges the gap between closed AI platforms and open agent workflows. This guide covers how to deploy NotebookLM Python API & Skill for your team, standardize prompts, and create shared workflows that everyone can use.
Install NotebookLM Python API & Skill in your project directory: .claude/skills/notebooklm-py/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use NotebookLM Python API & Skill in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing NotebookLM Python API & Skill
How can my team use NotebookLM Python API & Skill together?
Set up NotebookLM Python API & Skill for our project so everyone can use it
Create a shared workflow using NotebookLM Python API & Skill for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install notebooklm-pyOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install notebooklm-pyβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/notebooklm-py/π‘Extract and place the folder at the path above, then restart your agent.