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Resizing and converting images v1.0.0

Use this resource to resize and optimise the images in your application

New

  • 533 downloads
  • 243 likes
  • 213 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install image-resize-webp-pipeline

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 writes an image processing pipeline: resizing, WebP or AVIF conversion, thumbnails and responsive images. It proposes Sharp for Node.js, Pillow for Python or Cloudinary depending on your stack.

Mostly picked by

Updated November 2, 2026

Card for the “Resizing and converting images” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: Sharp pipeline for Express uploads
  • SKILL.md: Pillow and Cloudinary examples, responsive image markup

Good fit for

  • Images uploaded by your users are too heavy
  • You want thumbnails generated at upload time

Not for

    Tags

    • images
    • webp
    • sharp
    • optimisation

    About

    You say

    “Add WebP variants of 1200, 400 and 100 px to my Express upload.”

    Card for the “Resizing and converting images” skill

    Skill published by claude-dev-suite 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 and optimise the images in your application
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md4.1 KB

    Origin and licence

    Listed unmodified

    Author
    claude-dev-suite
    Source
    github.com/claude-dev-suite/claude-dev-suite/tree/e10ab644ba43abe2abc923399226df4af7337214/skills/utilities/image-processing
    Licence
    MIT

    Notice

    « image-processing » (claude-dev-suite, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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