An AI-powered skill that automatically extracts and compiles the best moments from long video footage into high-quality highlight reels.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install online-highlight-editor
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 online-highlight-editor 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 Online Highlight Editor?
The Online Highlight Editor is a sophisticated AI tool designed to eliminate the manual labor involved in video editing. By leveraging remote GPU nodes, this skill allows users to transform long recordings—such as sports games or event footage—into polished 2-minute highlight reels just by describing what they want. It is a powerful addition to the Openclaw Skills library for creators who need professional results without the learning curve of complex software.
This skill handles everything from file uploading to server-side rendering, ensuring that your local machine's resources are preserved. It supports a wide range of formats including MP4, MOV, and AVI, and uses intelligent AI highlight extraction to identify key moments automatically, providing a high-definition export ready for social media or professional distribution.
Online Highlight Editor Use Cases
- Extracting top plays from a 90-minute sports game recording into a short 1080p clip.
- Compiling event highlights for social media from raw videography files without manual scrubbing.
- Automatically creating teaser trailers for long-form video content using natural language prompts.
- Batch processing multiple video files to generate themed highlight reels for content creators.
How Online Highlight Editor Works
- The user uploads raw video files up to 500MB or provides a media URL to the agent.
- The user provides a natural language prompt describing the desired outcome, such as extract the best moments and compile them into a 2-minute highlight reel.
- The skill establishes a secure session with a cloud GPU backend using a NEMO token for authentication.
- The AI analyzes the footage on remote nodes to identify, trim, and segment the most relevant parts of the video.
- A cloud render pipeline composites the layers, applies compression (H.264), and manages text overlays or BGM.
- The skill monitors the render status and provides a final download URL for the exported MP4 file.
Online Highlight Editor Setup
To use this Openclaw Skills integration, you must configure your environment with the necessary API credentials. On first use, the skill can automatically generate an anonymous token if one is not provided.
# Set your environment variable
export NEMO_TOKEN="your_nemo_api_token"
# The skill will automatically initiate a session
# via the cloud rendering endpoint:
# https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent
Online Highlight Editor Data Schema & Taxonomy
The skill manages video projects using a specific JSON draft structure and monitors session states through the following schema:
| Component | Details |
|---|---|
| Draft Keys | t (tracks), tt (track type: 0=video, 1=audio, 7=text), sg (segments), d (duration) |
| Formats | MP4, MOV, AVI, WebM, MKV, JPG, PNG, MP3, WAV |
| Session State | Tracked via session_id and task_id for persistent project editing |
| Metadata | Includes video_infos, generated_media, and available_credits |
Online Highlight Editor Advanced Features
- Real-time editing feedback using Server-Sent Events (SSE) for iterative creative control.
- Multi-track support allowing for the simultaneous management of video, BGM, and text overlays.
- Automatic credit management and anonymous token refreshing for uninterrupted workflows.
- High-performance cloud rendering on remote GPU nodes that supports up to 1080x1920 resolution.
- Iterative project refinement where the session state is preserved for multiple editing passes.
SKILL.md
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