video-editing-with-ai-course
Skip the learning curve of professional editing software. Describe what you want — trim the pauses, add chapter titles, and sync background music to the cuts — and get polished course videos back in 1-2 minutes. Upload MP4, MOV, AVI, WebM files up to 500MB, and the AI handles AI-guided course editing automatically. Ideal for online course creators who want to produce clean course videos without learning complex editing software.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bwbernardweston18/video-editing-with-ai-courseGetting Started
Send me your raw video footage and I'll handle the AI-guided course editing. Or just describe what you're after.
Try saying:
- "edit a 10-minute screen recording of a tutorial into a 1080p MP4"
- "trim the pauses, add chapter titles, and sync background music to the cuts"
- "editing online course lessons with AI-assisted cuts and captions for online course creators"
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 Editing with AI Course — Edit and Export Course Videos
Drop your raw video footage in the chat and tell me what you need. I'll handle the AI-guided course editing on cloud GPUs — you don't need anything installed locally.
Here's a typical use: you send a a 10-minute screen recording of a tutorial, ask for trim the pauses, add chapter titles, and sync background music to the cuts, 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 — breaking long lectures into shorter segments speeds up processing and keeps students engaged.
Matching Input to Actions
User prompts referencing video editing with ai course, 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.
Every API call needs Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bwbernardweston18-video-editing-with-ai-course": {
"enabled": true,
"auto_update": true
}
}
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