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List all NotebookLM notebooks and show their artifact status (video, infographic, etc.) in a summary table.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
[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.
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.
| name | notebooklm-status |
| description | List all NotebookLM notebooks and show their artifact status (video, infographic, etc.) in a summary table. |
Iterate through all notebooks and display a summary of all artifacts.
When this skill is invoked, follow these steps in order:
First, run the notebooklm-research skill to handle installation check, login verification, and setup.
notebooklm list --json
Parse the JSON output to get all notebook IDs and titles.
For each notebook, query its artifacts:
notebooklm artifact list -n <notebook-id> --json
Collect all artifacts from all notebooks.
Present a summary table to the user with:
User: /notebooklm-status
Agent: