szhshp/panda-video-automation-notebooklm

get-notebooklm-video

Download a NotebookLM video artifact to /input/video.mp4 and create a title.json with its title.

Langue du texte source : anglais

notebooklm-pipeline

[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.

Langue du texte source : anglais

notebooklm-prep-upload

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.

Langue du texte source : anglais

notebooklm-status

List all NotebookLM notebooks and show their artifact status (video, infographic, etc.) in a summary table.

Langue du texte source : anglais

notebooklm-video

Create a NotebookLM notebook for a topic and generate a video overview in Simplified Chinese. Delegates installation and login checks to notebooklm-research skill.

Langue du texte source : anglais

pipeline-status

Report NotebookLM video pipeline progress as a formatted ✅/⚠️ checklist. Trigger: user asks 'status', 'check progress', 'what's running', or 'which pipeline is running'.

Langue du texte source : anglais

pva-check

Check all prerequisites (Python, Node.js, notebooklm-mcp-cli, PVA) before running any workflow.

Langue du texte source : anglais

pva-publisher

Cross-platform video upload (login only when explicitly requested) — Bilibili, Douyin, Kuaishou, Weixin Video, YouTube

Langue du texte source : anglais

setup-pva-notebooklm

Overview of the Panda Video Automation pipeline — from NotebookLM research to video upload. Run this skill to see the full workflow.

Langue du texte source : anglais

notebooklm-research

Research a topic with NotebookLM — create notebook, run deep research, auto-import sources, and summarize. Checks nlm installation, login, and skill installation first.

Langue du texte source : anglais

minimalist-academic-cover

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…

Langue du texte source : anglais