| 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. |
Panda Video Automation — Pipeline Overview
This project automates the full pipeline: research a topic via NotebookLM → generate AI video → prepare for upload → publish to platforms.
Prerequisite: Setup
PVA is installed as a local project dependency (declared in package.json). Run inside the project root:
npm install
npx pva version
Note: PVA is used from the local project directory (node_modules/.bin/pva or npx pva) — never installed globally. Bare pva is not on PATH.
Also ensure notebooklm-mcp-cli is installed:
uv tool install notebooklm-mcp-cli
Note (optional): nlm skill install agents is optional — only needed if you want nlm to emit agent-style skill files. The project's own .agents/skills/ already covers the pipeline; skip unless explicitly requested.
Pipeline Steps
Each step below resolves immediately (background work). Wait times are noted.
Step 1: Research a Topic
Creates a NotebookLM notebook and starts deep web research.
nlm notebook create "<topic>" -j
nlm research start "<query>" -m deep -n <notebook-id>
Wait ~5 min — run nlm research import <notebook-id> to finish and auto-import all sources.
Step 2: Generate Video
Generates a video overview in Simplified Chinese from the notebook.
nlm video create <notebook-id> --format explainer --style auto_select --language zh_Hans -y -j
Wait ~5 min — check back and download the video via /get-notebooklm-video.
Step 3: Download Video Artifact
/skill get-notebooklm-video
Downloads video to /input/video.mp4 with title.json.
Step 4: Prepare for Upload
Moves video and title into the structure expected by upload scripts.
/skill notebooklm-prep-upload
Step 5: Publish to Platforms
Uploads to Bilibili, Douyin, Kuaishou, Weixin Video, or YouTube.
/skill pva-publisher
Quick Reference
| 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.
