Download a NotebookLM video artifact to /input/video.mp4 and create a title.json with its title.
[ENTRY POINT] Full NotebookLM pipeline — research → generate video → download → watermark → trim → generate meta files → cover → prepare upload → publish. Single entry point for all end-to-end video tasks.
Prepare a downloaded NotebookLM video for upload: create the title JSON file and move the video to the correct path expected by the Bilibili/Douyin upload e2e scripts.
List all NotebookLM notebooks and show their artifact status (video, infographic, etc.) in a summary table.
Create a NotebookLM notebook for a topic and generate a video overview in Simplified Chinese. Delegates installation and login checks to notebooklm-research skill.
Report NotebookLM video pipeline progress as a formatted ✅/⚠️ checklist. Trigger: user asks 'status', 'check progress', 'what's running', or 'which pipeline is running'.
Check all prerequisites (Python, Node.js, notebooklm-mcp-cli, PVA) before running any workflow.
Cross-platform video upload (login only when explicitly requested) — Bilibili, Douyin, Kuaishou, Weixin Video, YouTube