notebooklm-kd

name	notebooklm-kd
description	Automate NotebookLM research workflow - from YouTube links to structured reports (Knowledge Distillery).
homepage	https://notebooklm.google.com/
metadata	{"openclaw":{"emoji":"🎓","requires":{"bins":["uv"]},"install":[{"id":"uv-brew","kind":"brew","formula":"uv","bins":["uv"],"label":"Install uv (brew)"}]}}

NotebookLM-KD (Knowledge Distillery)

Automate the workflow of extracting structured knowledge from YouTube videos or articles using NotebookLM + Gemini AI.

Quick Start

Generate a research report from YouTube videos:

uv run {baseDir}/scripts/kd.py research \
  --topic "Financial Research" \
  --urls "https://youtube.com/watch?v=xxx,https://youtube.com/watch?v=yyy" \
  --format briefing

Parameters

• --topic: Topic name (used for folder name)
• --urls: Comma-separated YouTube/article URLs
• --format: Report format (briefing/study-guide/blog)
• --output: Output path (default: workspace/{topic}_KD/)

Output

Creates a complete research folder:

workspace/{topic}_KD/
├── README.md                          # Index with NotebookLM link
└── YYYY-MM-DD_{topic}_KD報告.md        # Full report

Notes

• Uses OpenClaw browser automation (no API key needed)
• Requires Google account with NotebookLM access
• Max 50 sources per NotebookLM notebook
• Public YouTube videos only (with transcripts)
• Report generated by Gemini AI via NotebookLM

Workflow

1. Opens NotebookLM in browser
2. Creates new notebook
3. Batch imports URLs
4. Waits for Gemini analysis
5. Generates report (selected format)
6. Copies report content
7. Creates folder structure
8. Saves report with templates
9. Records NotebookLM link

Total time: ~3-5 minutes for 4 videos