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React performance optimization subagent v1.0.0

Use this resource to reduce re-renders, bundle weight and memory leaks in a React app

New

  • 394 downloads
  • 228 likes
  • 103 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install react-performance-subagent-2

First time: connect the CLI with

npx --yes palatekit@latest login

Your main agent calls it when a React app is slow or heavy: it analyzes re-renders, memoization, code splitting (React.lazy, dynamic imports), uncleaned resources and LCP, FID and CLS metrics, then proposes fixes.

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Updated November 2, 2026

Card for “React performance optimization subagent”

Details

Install guides
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Your agent's model
Licence
MIT

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What you get

  • The subagent file (in English): optimization areas and profiling tools
  • Examples of React.memo, useMemo and React.lazy

Good fit for

  • A React app that stutters during interactions
  • A bundle too heavy for a first load on mobile

Not for

    Tags

    • react
    • performance
    • bundle
    • rendering

    About

    You say

    “This React list re-renders on every keystroke: find the cause and fix it.”

    Card for “React performance optimization subagent”

    Subagent published by davila7 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Copy the file into .claude/agents/ (project) or ~/.claude/agents/ (all your projects)
    2. Ask your agent to reduce re-renders, bundle weight and memory leaks in a React app, or call the subagent by name
    3. Review its work

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • react-performance-subagent-2.md2.2 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/blob/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/agents/performance-testing/react-performance-optimization.md
    Licence
    MIT

    Notice

    « react-performance-optimization » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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