القائمة
Create a NotebookLM notebook for a topic and generate a video overview in Simplified Chinese. Delegates installation and login checks to notebooklm-research skill.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
[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.
Overview of the Panda Video Automation pipeline — from NotebookLM research to video upload. Run this skill to see the full workflow.
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 | notebooklm-video |
| description | Create a NotebookLM notebook for a topic and generate a video overview in Simplified Chinese. Delegates installation and login checks to notebooklm-research skill. |
Research a topic using NotebookLM and generate a video overview in Simplified Chinese.
When this skill is invoked, follow these steps in order:
First, run the notebooklm-research skill to handle installation check, login verification, and setup.
Prompt the user: "What research topic would you like to explore?"
Wait for the user to provide the research title/topic.
Create a new notebook with the research topic as title:
notebooklm create "<research-title>" --json
Parse the notebook ID from the JSON output.
Set the notebook as current context:
notebooklm use <notebook-id>
notebooklm generate video "<research-title> video overview" --language zh_Hans --format explainer --style auto --no-wait --json
User: /notebooklm-video
Agent: