A high-performance image cropping skill that enables AI agents to process local files or remote URLs into production-ready assets.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crop-image
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 crop-image using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Crop Image skill is a specialized tool designed to empower AI agents with robust image manipulation capabilities. By integrating this capability within Openclaw Skills, developers can allow their agents to programmatically resize and trim images to specific dimensions. This service leverages a FastAPI backend to handle complex image processing tasks that would otherwise be difficult for an LLM to perform natively, providing a bridge between text-based reasoning and visual asset generation.
To integrate this functionality into your environment, ensure your agent can communicate with the ImageClaw API. You can test the connectivity for URL-based cropping using the following command:
curl -sS -X POST "https://api.imageclaw.net/crop" \
-H "content-type: application/json" \
-d '{
"url": "https://picsum.photos/800/600",
"width": 256,
"height": 256
}'
For local file processing within Openclaw Skills, use the upload endpoint:
curl -sS -X POST "https://api.imageclaw.net/crop/upload" \
-F "file=@/absolute/path/to/photo.jpg" \
-F "width=256" \
-F "height=256"
The Crop Image skill utilizes a structured data format to ensure compatibility across different Openclaw Skills implementations.
| Parameter | Type | Description |
|---|---|---|
| url | string | Reachable image URL (for URL mode) |
| file | binary | Local image file (for upload mode) |
| width | integer | Target width between 1 and 4096 |
| height | integer | Target height between 1 and 4096 |
cropped_url: The direct link to the resulting image asset.original_size: An array [width, height] of the source image.face_detected: A boolean flag indicating if human faces were identified during processing.Loading
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