Crop Tool
The Crop Tool lets you precisely select and isolate areas of an image for editing or extraction – boosting workflow efficiency.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add crop-tool npx -- -y @trustedskills/crop-tool
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"crop-tool": {
"command": "npx",
"args": [
"-y",
"@trustedskills/crop-tool"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows AI agents to perform image cropping operations. It can precisely define regions of interest within an image, enabling focused analysis or editing. The tool supports specifying coordinates and dimensions to extract specific portions of images.
When to use it
- Creating thumbnails: Automatically generate smaller versions of larger images for previews or display in galleries.
- Focusing on details: Extract a specific area from a complex image, such as highlighting a person's face in a group photo.
- Preparing data for machine learning: Crop images to isolate objects or features for training computer vision models.
- Removing unwanted elements: Eliminate distracting backgrounds or surrounding areas from an image.
Key capabilities
- Coordinate-based cropping (x, y coordinates)
- Dimension-based cropping (width, height)
- Region of Interest (ROI) extraction
Example prompts
- "Crop the image to a region starting at x=100, y=50 with a width of 200 and a height of 150."
- “Extract the area from the top-left corner of the image that is 300 pixels wide and 200 pixels high.”
- "Crop the image to focus on the central region."
Tips & gotchas
The skill requires precise numerical input for coordinates and dimensions. Ensure your AI agent understands the coordinate system being used (e.g., top-left corner origin).
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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