Highlight Editor Online is an AI-powered video processing skill that automatically extracts the best moments from raw footage and compiles them into professional highlight reels.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install highlight-editor-online
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-online 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 Online?
Highlight Editor Online is a sophisticated video editing integration designed for the Openclaw Skills ecosystem. It leverages a cloud-based GPU rendering pipeline to transform hours of raw footage into concise, high-quality highlight reels without requiring manual scrubbing or timeline editing. By simply describing the desired output, users can trigger complex AI workflows that identify key moments, apply transitions, and export production-ready files.
Built for the modern creator, this skill handles the heavy lifting of video composition. It supports a wide array of formats including MP4, MOV, and AVI, managing everything from initial upload to final 1080p MP4 export. Whether you are a sports videographer or a social media manager, this tool streamlines the post-production process through intuitive natural language commands.
Highlight Editor Online Use Cases
- Automatically pull the best moments and compile them into a 2-minute highlight reel from long sports recordings.
- Batch process multiple raw video files within a single session for rapid content creation.
- Refine rough cuts iteratively by giving specific instructions to the AI editor while maintaining timeline state.
- Convert raw event footage into 1080p MP4 clips ready for immediate social media distribution.
How Highlight Editor Online Works
- Authentication: The skill establishes a connection using a NEMO_TOKEN or acquires an anonymous token via a UUID client identifier.
- Session Creation: A dedicated project session is initialized to track the timeline, tracks, and metadata.
- Media Upload: Raw video files (up to 500MB) are uploaded to the cloud rendering pipeline.
- AI Processing: Natural language instructions are sent via Server-Sent Events (SSE) to trigger highlight extraction and track composition.
- State Management: The skill monitors the draft state, including video, audio, and text tracks, to ensure the edit matches user intent.
- Cloud Rendering: The final composition is queued on a cloud GPU node for H.264 compression and 1080p rendering.
- Export: Once rendering is complete, the skill provides a direct download URL for the processed MP4 file.
Highlight Editor Online Setup
To use this highlight editor online tool within your environment, ensure your API credentials are configured:
# Set your environment variable
export NEMO_TOKEN="your_token_here"
# The skill will automatically check for configuration in:
# ~/.config/nemovideo/
If no token is provided, the skill will automatically generate an anonymous session with 100 free credits valid for 7 days.
Highlight Editor Online Data Schema & Taxonomy
The skill utilizes a structured mapping for video drafts to ensure precise rendering. Below is the metadata taxonomy used by the Openclaw Skills integration:
| Field | Description | Mapping/Values |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Defined start/end points in ms |
d |
Duration | Total length of the clip in ms |
m |
Metadata | Technical specs and render IDs |
Supported Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
Highlight Editor Online Advanced Features
- Multi-Track Composition: Support for simultaneous video, background music (BGM), and text overlay tracks.
- Automated GUI Translation: Converts backend "click" or "drag" commands into executable API actions for seamless agent interaction.
- Real-time Progress Monitoring: Includes heartbeat monitoring and session state polling to track long-running GPU render jobs.
- Platform Attribution: Automatically detects and sends X-Skill-Platform headers for optimized performance across different IDEs.
SKILL.md
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