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Tailwind class optimization v1.0.0

Use this resource to simplify and deduplicate the Tailwind classes of a component

New

  • 357 downloads
  • 234 likes
  • 128 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install tailwind-class-optimization

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 redundant or conflicting classes and proposes more readable groupings. You get cleaned markup and a list of changes.

Mostly picked by

Updated November 2, 2026

Card for the “Tailwind class optimization” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: analysis method and simplification rules
  • SKILL.md: optimized class examples and expected output

Good fit for

  • Your Tailwind components contain long class lists
  • Several classes conflict and only the last one applies

Not for

    Tags

    • tailwind
    • css
    • classes
    • readability

    About

    You say

    “Clean up the Tailwind classes of this card component and flag any conflicts.”

    Card for the “Tailwind class optimization” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 simplify and deduplicate the Tailwind classes of a component
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.4 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/05-frontend-dev/tailwind-class-optimizer
    Licence
    MIT

    Notice

    « tailwind-class-optimizer » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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