ImageMagick Tools

SkillFiles & storage

Infrastructure skill, image processing and manipulation via ImageMagick: resize, composite, convert formats, add watermarks. Use when batch-processing textures, thumbnails, or rendered images at the file level. Not for in-DCC texture or material editing, use a domain skill bound to the specific DCC for that.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the ImageMagick Tools skill

What this skill tells your AI

The instructions your AI receives, as published by dcc-mcp/dcc-mcp-core in examples/skills/imagemagick-tools/SKILL.md and read by ahel’s review.

Batch image processing for DCC pipelines using ImageMagick.

Tools

`imagemagick_tools__resize`

Resize textures for LOD levels, thumbnails, or export targets.

# Example invocation via MCP
{"name": "imagemagick_tools__resize",
 "arguments": {"input": "tex_4k.exr", "output": "tex_1k.png",
                "width": 1024, "height": 1024, "fit": "cover"}}

`imagemagick_tools__composite`

Overlay images with blend mode control — watermarks, decals, previews.

Prerequisites

Install ImageMagick:

macOS: brew install imagemagick
Linux: apt install imagemagick
Windows: Download from https://imagemagick.org/script/download.php

Verify: magick -version

Common DCC use cases

Batch-resize texture maps for LOD levels
Generate contact sheets from rendered frames
Convert between texture formats (EXR → PNG, TIFF → JPEG)
Add watermarks or version stamps to preview renders

Signals

GitHub stars: 48
Forks: 4
Last commit: Oct 2026

ahel review

K1binfo
installs-packages
K1binfo
installs-packages (in scripts/resize.py)

Automated review, not a security audit. Ruleset v1+k2.

Advanced

Item type: skill
Key: imagemagick-tools
Source: github.com/dcc-mcp/dcc-mcp-core

github.com/dcc-mcp/dcc-mcp-core