An AI-powered video editing skill that transforms raw footage into polished social media clips through natural language commands and cloud GPU rendering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-clip-editor
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 free-clip-editor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Free Clip Editor is a robust AI-driven tool designed for rapid video post-production within Openclaw Skills. It leverages remote GPU nodes to process video clips in formats like MP4, MOV, AVI, and WebM up to 500MB, allowing users to perform complex edits without manual slider manipulation. By integrating with the Nemo AI backend, it provides a seamless server-side rendering pipeline that outputs high-quality 1080p MP4 files ready for social media platforms like TikTok.
This skill eliminates the steep learning curve of complex video editing software by allowing creators to describe their desired output. Whether you need to trim silent parts, add transitions, or polish a phone camera recording, the backend handles the heavy lifting on remote hardware, ensuring your local machine remains responsive while the cloud render pipeline generates the final file.
To integrate this capability into your Openclaw Skills environment, ensure you have the necessary environment variables configured. If no token is provided, the skill will attempt to acquire a free starter token automatically.
# Set your API token for high-priority processing
export NEMO_TOKEN="your_nemo_token_here"
# Configuration files are stored at:
~/.config/nemovideo/
The skill manages video projects using a specialized draft mapping system to track edits across multiple layers. Data is organized as follows:
| Field | Description |
|---|---|
t |
Tracks: An array containing video, audio, and text layers |
tt |
Track Type: Integer codes (0 for video, 1 for audio, 7 for text) |
sg |
Segments: Individual clips or blocks placed on a track |
d |
Duration: Segment length measured in milliseconds |
m |
Metadata: Information regarding file source, quality, and render settings |
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