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Speeding up slow flows by removing waste v1.0.0

Use this resource to diagnose and speed up a slow flow without hiding waste

New

  • 596 downloads
  • 240 likes
  • 129 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install performance-waste-reduction

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 the acceptance rule and measurement plan first, then looks for unneeded work before considering a cache. You get a performance change with its measurement protocol and result.

Mostly picked by

Updated November 2, 2026

Card for the “Speeding up slow flows by removing waste” skill

Details

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

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What you get

  • SKILL.md: measurement protocol and workload table
  • SKILL.md: order of fixes and landing criteria

Good fit for

  • A request or render takes too long
  • You are reviewing a performance pull request

Not for

    Tags

    • performance
    • measurement
    • cache
    • optimization

    About

    You say

    “This page takes 4 seconds to load: measure it and remove the unneeded work before adding a cache.”

    Card for the “Speeding up slow flows by removing waste” skill

    Skill published by openclaw 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 diagnose and speed up a slow flow without hiding waste
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.4 KB

    Origin and licence

    Listed unmodified

    Author
    openclaw
    Source
    github.com/openclaw/openclaw/tree/2742aa01664c441571418805545bc012b6294228/.agents/skills/openclaw-performance
    Licence
    MIT

    Notice

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

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