菜单
Check all prerequisites (Python, Node.js, notebooklm-mcp-cli, PVA) before running any 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 pva-check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 | pva-check |
| description | Check all prerequisites (Python, Node.js, notebooklm-mcp-cli, PVA) before running any workflow. |
Verify all required dependencies are installed before running any workflow.
python3 --version
node --version
nlm --version
PVA is a local project dependency — run from project root:
npx pva version # or: node_modules/.bin/pva version