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Multi-agent system optimization v1.0.0

Use this resource to optimize throughput, latency and cost of a multi-agent system

New

  • 428 downloads
  • 154 likes
  • 230 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install multi-agent-system-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 sets a measurement baseline, profiles the load across agents and finds coordination bottlenecks. It proposes a task distribution and a cost-aware orchestration. You get recommendations backed by measurements.

Mostly picked by

Updated November 2, 2026

Card for the “Multi-agent system optimization” skill

Details

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

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What you get

  • SKILL.md: profiling and performance baseline
  • SKILL.md: workload distribution and a profiling code example

Good fit for

  • Your agent system is slow or expensive
  • You want to reduce the context and tool calls of your agents

Not for

    Tags

    • agents
    • orchestration
    • performance
    • cost

    About

    You say

    “Analyze our content generation agents: where do the time and the tokens go?”

    Card for the “Multi-agent system optimization” skill

    Skill published by rmyndharis 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 optimize throughput, latency and cost of a multi-agent system
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.9 KB

    Origin and licence

    Listed unmodified

    Author
    rmyndharis
    Source
    github.com/rmyndharis/antigravity-skills/tree/364ea63c190fcf7cac035f7fa91f0406fa392584/skills/agent-orchestration-multi-agent-optimize
    Licence
    MIT

    Notice

    « agent-orchestration-multi-agent-optimize » (rmyndharis, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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