NotebookLM integration patterns for external RAG, research synthesis, studio content generation, and knowledge management. Use when creating notebooks, adding sources, generating audio/video, or querying NotebookLM via MCP.
Quickly install notebooklm AI skill to your development environment via command line
Source: yonatangross/orchestkit.
NotebookLM = external RAG engine that offloads reading from your context window. Uses the notebooklm-mcp-cli MCP server (PyPI) to create notebooks, manage sources, generate content, and query with grounded AI responses.
Disclaimer: Uses internal undocumented Google APIs via browser authentication. Sessions last 20 minutes. API may change without notice.
| Category | Rule | Impact | Key Pattern |
NotebookLM integration patterns for external RAG, research synthesis, studio content generation, and knowledge management. Use when creating notebooks, adding sources, generating audio/video, or querying NotebookLM via MCP. Source: yonatangross/orchestkit.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/yonatangross/orchestkit --skill notebooklmNotebookLM integration patterns for external RAG, research synthesis, studio content generation, and knowledge management. Use when creating notebooks, adding sources, generating audio/video, or querying NotebookLM via MCP. Source: yonatangross/orchestkit.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/yonatangross/orchestkit --skill notebooklm Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/yonatangross/orchestkit