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System performance optimization v1.0.0

Use this resource to improve the performance of a distributed system

New

  • 365 downloads
  • 133 likes
  • 151 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install system-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 analyzes performance, optimizes resource allocation and load balancing, then looks for bottlenecks. It also tunes performance settings as the work runs. You get recommendations and the tuning applied.

Mostly picked by

Updated November 2, 2026

Card for the “System performance optimization” skill

Details

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

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What you get

  • SKILL.md: performance analysis and optimization strategies
  • SKILL.md: allocation and balancing optimization, dynamic tuning

Good fit for

  • A distributed system uses too many resources
  • Load is unevenly spread across nodes

Not for

    Tags

    • performance
    • optimization
    • load
    • resources

    About

    You say

    “Optimize load balancing across the three processing queues and reduce memory use.”

    Card for the “System performance optimization” skill

    Skill published by ruvnet 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 improve the performance of a distributed system
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md14.5 KB

    Origin and licence

    Listed unmodified

    Author
    ruvnet
    Source
    github.com/ruvnet/ruflo/tree/89b0cd02dd99ea1f63437fde6c05992ec53cc22b/.agents/skills/agent-performance-optimizer
    Licence
    MIT

    Notice

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

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