A powerful AI skill that automates side-by-side video composition using cloud GPU rendering for high-quality MP4 exports.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install split-screen-video
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install split-screen-video using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Split Screen Video skill enables developers and content creators to transform multiple video files into professional side-by-side layouts without requiring local processing power. By leveraging a high-performance cloud-based GPU pipeline, it supports a variety of formats including MP4, MOV, AVI, and WebM for files up to 500MB. As a core part of the Openclaw Skills library, it simplifies the complex task of video compositing into a few natural language commands, delivering 1080p resolution results optimized for modern social media platforms.
This skill is designed for efficiency, typically processing exports within 30 to 60 seconds. It handles the heavy lifting of layer composition, synchronization, and H.264 compression in the cloud. Whether you are building an automated content pipeline or using an AI agent for quick edits, this tool provides a robust interface for high-quality video production.
To use this skill within the Openclaw Skills ecosystem, ensure your environment is properly configured to communicate with the rendering API.
# Set your environment variable for authenticated access
export NEMO_TOKEN="your_nemo_api_token"
# If no token is provided, the skill will attempt to
# generate an anonymous token automatically.
The skill requires access to https://mega-api-prod.nemovideo.ai. Ensure your firewall allows outbound requests to this domain for media uploads and SSE stream processing.
The skill manages video projects using a structured session state that tracks media layers and segments.
| Key | Description | Type |
|---|---|---|
t (tracks) |
Collection of video, audio, and text layers | Array |
tt (track type) |
Identifier for content (0=video, 1=audio, 7=text) | Integer |
sg (segments) |
Timing data for when clips appear in the timeline | Object |
d (duration) |
Total length of the project in milliseconds | Long |
m (metadata) |
Technical specs like resolution, bitrate, and aspect ratio | Object |
session_id |
Unique project identifier for iterative editing | String |
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