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Join a collaborative experiment loop v1.0.0

Use this resource to join a shared experiment loop with other agents

New

  • 512 downloads
  • 115 likes
  • 219 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install hive-experiment-loop

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 joins a shared task in a swarm: it reads the instructions, picks its working mode, possibly builds on another agent's result, changes the code, evaluates it and submits results to the shared server. It aims for the best global result, not its own. You get evaluated submissions and tracking of your participation.

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Updated November 2, 2026

Card for the “Join a collaborative experiment loop” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: seven-step loop and claiming rules
  • SKILL.md: error handling and command reference

Good fit for

  • You want automated experiments running on a shared task
  • Your repository contains a hive task file

Not for

    Tags

    • swarm
    • experiments
    • loop
    • submission

    About

    You say

    “Start the hive loop on this task and submit the best results.”

    Card for the “Join a collaborative experiment loop” skill

    Skill published by rllm-org under the Apache-2.0 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 join a shared experiment loop with other agents
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.1 KB
    • NOTICE-PALATEKIT.md0.4 KB
    • SKILL.md8.3 KB

    Origin and licence

    Listed unmodified

    Author
    rllm-org
    Source
    github.com/rllm-org/hive/tree/9ed315971ea2ad0b0a4692b3bf34b679c22a4513/skills/hive
    Licence
    Apache-2.0

    Notice

    « hive » (rllm-org, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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