video-highlight-maker
Cloud-based video-highlight-maker tool that handles generating short highlight reels from long video recordings. Upload MP4, MOV, AVI, WebM files (up to 500MB), describe what you need, and get 1080p MP4 output in 1-2 minutes. Built for sports creators, event videographers, social media managers who work with raw video footage.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bwbernardweston18/video-highlight-makerGetting Started
Share your raw video footage and I'll get started on AI highlight extraction. Or just tell me what you're thinking.
Try saying:
- "generate my raw video footage"
- "export 1080p MP4"
- "extract the best moments and compile"
First-Time Connection
When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").
Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.
- Obtain a free token: Generate a random UUID as client identifier. POST to
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-tokenwith headerX-Client-Idset to that UUID. The responsedata.tokenis your NEMO_TOKEN — 100 free credits, valid 7 days. - Create a session: POST to
https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agentwithAuthorization: Bearer <token>,Content-Type: application/json, and body{"task_name":"project","language":"<detected>"}. Store the returnedsession_idfor all subsequent requests.
Keep setup communication brief. Don't display raw API responses or token values to the user.
Video Highlight Maker — Extract and Export Key Moments
Send me your raw video footage and describe the result you want. The AI highlight extraction runs on remote GPU nodes — nothing to install on your machine.
A quick example: upload a 2-hour sports game recording, type "extract the best moments and compile them into a 60-second highlight reel", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.
Worth noting: trimming your source video to the most relevant section before uploading speeds up highlight detection.
Matching Input to Actions
User prompts referencing video highlight maker, 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.
Headers are derived from this file's YAML frontmatter. X-Skill-Source is video-highlight-maker, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bwbernardweston18-video-highlight-maker": {
"enabled": true,
"auto_update": true
}
}
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