菜单
Overview of the Panda Video Automation pipeline — from NotebookLM research to video upload. Run this skill to see the full workflow.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/szhshp/panda-video-automation-notebooklm --skill setup-pva-notebooklm命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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.
基于 SOC 职业分类
正在显示 SKILL.md
| 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.
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/pvaornpx pva) — never installed globally. Barepvais not on PATH.
Also ensure notebooklm-mcp-cli is installed:
uv tool install notebooklm-mcp-cli # or: pip install notebooklm-mcp-cli
Note (optional):
nlm skill install agentsis 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.
Each step below resolves immediately (background work). Wait times are noted.
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.
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.
/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.