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Overview of the Panda Video Automation pipeline — from NotebookLM research to video upload. Run this skill to see the full workflow.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
[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.
Cross-platform video upload (login only when explicitly requested) — Bilibili, Douyin, Kuaishou, Weixin Video, YouTube
Research a topic with NotebookLM — create notebook, run deep research, auto-import sources, and summarize. Checks notebooklm installation, login, and skill installation first.
Create a NotebookLM notebook for a topic and generate a video overview in Simplified Chinese. Delegates installation and login checks to notebooklm-research skill.
Download a NotebookLM video artifact to /input/video.mp4 and create a title.json with its title.
Generate minimalist academic-style cover images via Python/Pillow — black (#000000) solid background, centered bold white title (120px), thin subtitle (76px) below. ONLY text on black — no graphics, icons, dates, or logos. TRIGGER: activates when user mentions "simple cover", "minimalist cover", "academic cover", or "cover" without further qualifiers. For "detailed cover", "complex cover", "report-style cover", or "detailed cover"/"complex cover", do NOT use this skill — instead generate a detailed infographic with --style professional or --style scientific.
| name | setup-pva-notebooklm |
| description | Overview of the Panda Video Automation pipeline — from NotebookLM research to video upload. Run this skill to see the full workflow. |
This project automates the full pipeline: research a topic via NotebookLM → generate AI video → prepare for upload → publish to platforms.
npm install -g @panda-video-automation/pva
pva --version
Also ensure notebooklm-py is installed:
pip install notebooklm-py
notebooklm skill install
Each step below resolves immediately (background work). Wait times are noted.
Creates a NotebookLM notebook and starts deep web research.
notebooklm create "<topic>" --json
notebooklm use <notebook-id>
notebooklm source add-research "<query>" --mode deep --no-wait
Wait ~5 min — run notebooklm research wait --import-all to finish and auto-import all sources.
Generates a video overview in Simplified Chinese from the notebook.
notebooklm generate video "<title> video overview" --language zh_Hans --format explainer --style auto --no-wait --json
Wait ~5 min — check back and download the video via /get-notebooklm-video.
/skill get-notebooklm-video
Downloads video to /input/video.mp4 with title.json.
Moves video and title into the structure expected by upload scripts.
/skill notebooklm-prep-upload
Uploads to Bilibili, Douyin, Kuaishou, Weixin Video, or YouTube.
/skill pva-publisher
| Skill | What it does |
|---|---|
/pva-check | Verify all prerequisites |
/setup-pva-notebooklm | This overview |
/notebooklm-research | Research a topic via NotebookLM |
/notebooklm-video | Research + generate video |
/get-notebooklm-video | Download video artifact |
/notebooklm-prep-upload | Prepare video for upload |
/pva-publisher | Cross-platform upload |
Note: Each step launches background work and resolves immediately. The user should wait the indicated time before proceeding to the next step.