scene-video
Turn a 3-minute raw footage file with multiple locations into 1080p scene-cut video just by typing what you need. Whether it's splitting footage into scenes and assembling them into a structured video or quick social content, drop your video clips and describe the result you want. No timeline dragging, no export settings — 1-2 minutes from upload to download.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bwbernardweston18/scene-videoGetting Started
Got video clips to work with? Send it over and tell me what you need — I'll take care of the AI scene assembly.
Try saying:
- "create a 3-minute raw footage file with multiple locations into a 1080p MP4"
- "split this footage into individual scenes and arrange them into a cohesive video"
- "splitting footage into scenes and assembling them into a structured video for filmmakers, content creators, social media editors"
Getting Connected
Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".
If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:
- Generate a UUID as client identifier
- POST to
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-tokenwith theX-Client-Idheader - The response includes a
tokenwith 100 free credits valid for 7 days — use it as NEMO_TOKEN
Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.
Tell the user you're ready. Keep the technical details out of the chat.
Scene Video — Split and Assemble Video Scenes
Drop your video clips in the chat and tell me what you need. I'll handle the AI scene assembly on cloud GPUs — you don't need anything installed locally.
Here's a typical use: you send a a 3-minute raw footage file with multiple locations, ask for split this footage into individual scenes and arrange them into a cohesive video, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.
One thing worth knowing — shorter individual scenes under 30 seconds process and render significantly faster.
Matching Input to Actions
User prompts referencing scene video, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.
| User says... | Action | Skip SSE? |
|---|---|---|
| "export" / "导出" / "download" / "send me the video" | → §3.5 Export | ✅ |
| "credits" / "积分" / "balance" / "余额" | → §3.3 Credits | ✅ |
| "status" / "状态" / "show tracks" | → §3.4 State | ✅ |
| "upload" / "上传" / user sends file | → §3.2 Upload | ✅ |
| Everything else (generate, edit, add BGM…) | → §3.1 SSE | ❌ |
Cloud Render Pipeline Details
Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.
Base URL: https://mega-api-prod.nemovideo.ai
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bwbernardweston18-scene-video": {
"enabled": true,
"auto_update": true
}
}
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