An AI-powered skill for adding dynamic motion effects and transitions to video clips via cloud GPU rendering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install motion-video-skill-free
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 motion-video-skill-free using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Motion Video Skill Free is a specialized extension designed for the Openclaw Skills ecosystem that enables users to transform static or flat video footage into professional-grade content. By utilizing high-performance cloud GPU nodes, this skill automates complex video editing tasks such as adding motion effects and dynamic transitions without requiring local hardware resources. It supports a wide range of formats including MP4, MOV, and WebM, making it an essential tool for creators looking to streamline their post-production workflow.
This skill provides a seamless interface between AI agents and advanced video processing APIs. It handles everything from session management and asset uploading to server-side rendering. By integrating this into your Openclaw Skills library, you gain the ability to generate high-quality 1080p MP4 files in under a minute, significantly reducing the time and technical barrier typically associated with high-end video editing.
To integrate this capability into your Openclaw Skills environment, ensure your environment variables are correctly configured. You can use an existing token or allow the skill to generate an anonymous session.
# Set your primary environment variable
export NEMO_TOKEN="your_nemo_api_token"
# The skill also looks for configuration in
# ~/.config/nemovideo/
If no token is found, the skill will automatically negotiate a free starter token using a generated UUID as a client identifier.
The skill organizes video data using a structured draft schema within the session state. Below is the mapping for metadata taxonomy:
| Key | Name | Description |
|---|---|---|
| t | Tracks | Array of video, audio, or text layers |
| tt | Track Type | 0=Video, 1=Audio, 7=Text |
| sg | Segments | Specific time-bound clips within a track |
| d | Duration | Length of the segment in milliseconds |
| m | Metadata | Additional properties like file source and resolution |
All exported files are standardized as 1080p MP4 for maximum compatibility.
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