Automate the extraction of video highlights from long recordings using AI-driven natural language processing and cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install highlight-editor-video
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install highlight-editor-video using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Highlight Editor Video?
Highlight Editor Video is a specialized skill designed for Openclaw Skills users who need to transform raw footage, such as sports games or event recordings, into polished highlight reels without manual editing. By leveraging cloud-based AI extraction and GPU-accelerated rendering, it processes hours of footage into 1080p clips in minutes.
This skill eliminates the need for complex timeline dragging and export configuration. Users simply provide natural language instructions like "extract the best moments" to get high-quality MP4 downloads ready for social media or professional use, all processed on remote high-performance infrastructure.
Highlight Editor Video Use Cases
- Create 1080p highlight reels from multi-hour sports game recordings.
- Generate quick social media content from long event videography sessions.
- Compile best moments from raw footage for content creators and videographers.
- Batch process multiple video files with specific stylistic or temporal instructions.
How Highlight Editor Video Works
- Initialize connection to the Nemo Video API using a secure NEMO_TOKEN or an anonymous token.
- Establish a processing session to manage state and track highlight extraction progress.
- Upload raw video footage (up to 500MB) directly through the interface or via URL.
- Provide natural language instructions to the AI engine via an SSE (Server-Sent Events) stream.
- Trigger a cloud GPU render job to composite layers and apply platform-specific compression.
- Poll the render status and download the final MP4 highlight reel upon completion.
Highlight Editor Video Setup
To integrate this with your Openclaw Skills, ensure your configuration paths are correctly set at ~/.config/nemovideo/.
# Ensure the NEMO_TOKEN is set in your environment
export NEMO_TOKEN="your_api_token"
# If no token exists, the skill will automatically generate
# an anonymous token via the Nemo API
Highlight Editor Video Data Schema & Taxonomy
| Component | Description |
|---|---|
| Tracks | Organized as video (0), audio (1), or text (7) layers. |
| Segments | Defined by duration in milliseconds (ms) and metadata (m). |
| Session ID | Unique identifier for the cloud rendering pipeline and state management. |
| Metadata | Includes aspect ratio, text overlays, and audio track volume settings. |
Highlight Editor Video Advanced Features
- Cloud-based GPU rendering for high-performance video compositing without local resource drain.
- Natural language intent classification for automatic routing to export, credit check, or upload actions.
- Iterative timeline editing where the session maintains state for refined adjustments.
- Multi-track support including background music (BGM) overlays and text title generation.
SKILL.md
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