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Front, back and AI token optimisation v1.0.0

Use this resource to optimise an application's performance across front end, back end and AI calls

New

  • 374 downloads
  • 104 likes
  • 187 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install cross-domain-performance-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 reviews interface responsiveness (INP, main-thread blocking), database queries and indexes, then token use in model calls. It proposes fixes ranked by priority. You get an optimisation plan.

Mostly picked by

Updated November 2, 2026

Card for the “Front, back and AI token optimisation” skill

Details

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

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What you get

  • SKILL.md: front-end protocol (INP, bundle splitting, deferred updates)
  • SKILL.md: back-end protocols (queries, indexes) and AI token economy

Good fit for

  • Clicks are slow even though the server is not the cause
  • Your AI model calls cost too much

Not for

    Tags

    • performance
    • inp
    • queries
    • tokens

    About

    You say

    “Work out why clicking Add to cart freezes the interface and propose a fix.”

    Card for the “Front, back and AI token optimisation” skill

    Skill published by xenitv1 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 optimise an application's performance across front end, back end and AI calls
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3 KB

    Origin and licence

    Listed unmodified

    Author
    xenitv1
    Source
    github.com/xenitv1/claude-code-maestro/tree/924315bc623ae2553a8309cfd595273f27d08d3e/skills/optimization-mastery
    Licence
    MIT

    Notice

    « optimization-mastery » (xenitv1, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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