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imagemagick

@pacphi/sindri
7
0

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1Download skill
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SKILL.md

name imagemagick
description Process and manipulate images with format conversion (PNG→JPG→WebP→GIF), resizing, cropping, filtering, batch operations, and image metadata extraction. Use for thumbnail generation, image optimization, format conversion, watermarks, and bulk image processing tasks.
version 2.0.0
author turbo-flow-claude
mcp_server true
protocol fastmcp
entry_point mcp-server/server.py
dependencies imagemagick

ImageMagick Skill

Comprehensive image processing using ImageMagick via FastMCP protocol.

When to Use This Skill

  • Convert between image formats (PNG, JPG, WebP, GIF, TIFF, BMP, SVG, PDF)
  • Resize images for web optimization or thumbnails
  • Crop images to specific regions
  • Apply filters and effects (blur, sharpen, colorize)
  • Batch process multiple images
  • Create image montages and composites
  • Extract image metadata
  • Add watermarks and overlays

Tools

Tool Description
create_image Create new image with specified dimensions and color
convert_image Execute ImageMagick convert with custom arguments
resize_image Resize to specified dimensions with aspect ratio control
crop_image Crop to region with offset
composite_images Overlay images for watermarks or composites
identify_image Get image metadata and properties
batch_process Bulk process images matching a pattern

Examples

# Resize image to 800x600
resize_image({
    "input_path": "/path/to/image.png",
    "output_path": "/path/to/resized.png",
    "width": 800,
    "height": 600,
    "maintain_aspect": True
})

# Convert PNG to optimized WebP
convert_image({
    "args": ["input.png", "-quality", "85", "output.webp"]
})

# Batch generate thumbnails
batch_process({
    "input_pattern": "/images/*.jpg",
    "output_dir": "/thumbnails",
    "operation": "thumbnail",
    "width": 200
})

Environment Variables

Variable Default Description
IMAGEMAGICK_TIMEOUT 300 Command timeout in seconds

VisionFlow Integration

This skill exposes imagemagick://capabilities resource for discovery by VisionFlow's MCP TCP client on port 9500.