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Batch image processing with ImageMagick v1.0.0

Use this resource to resize, convert or batch-process images with ImageMagick

New

  • 337 downloads
  • 118 likes
  • 232 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install imagemagick-image-processing

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent finds the magick executable, reads metadata, resizes or converts images, then processes a whole folder by a chosen criterion. You get ready-to-use images, such as thumbnails or wallpapers.

Mostly picked by

Updated November 2, 2026

Card for the “Batch image processing with ImageMagick” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: information, resizing and conversion commands
  • SKILL.md: batch processing and locating the executable on each system

Good fit for

  • You need thumbnails for a product catalogue
  • Wallpapers must be adapted to several screen sizes

Not for

    Tags

    • imagemagick
    • images
    • resizing
    • batch

    About

    You say

    “Resize all the photos in the products folder to 800 pixels wide, as WebP.”

    Card for the “Batch image processing with ImageMagick” skill

    Skill published by github under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to resize, convert or batch-process images with ImageMagick
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.8 KB

    Origin and licence

    Listed unmodified

    Author
    github
    Source
    github.com/github/awesome-copilot/tree/0fe6545b950671641b2b14b44eb56678fea6c6b4/skills/image-manipulation-image-magick
    Licence
    MIT

    Notice

    « image-manipulation-image-magick » (github, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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