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Fast experiments to map parameters v1.0.0

Use this resource to map the effect of parameters on a measurable goal through short experiments

New

  • 475 downloads
  • 141 likes
  • 215 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install parameter-effect-experiments

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 plans competing hypotheses, tests them separately, combines verified winners and keeps a research record. You get a map of each parameter's effects and the best verified version.

Mostly picked by

Updated November 2, 2026

Card for the “Fast experiments to map parameters” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: experiment procedure and hypothesis queue
  • SKILL.md: research record, evidence and stopping criteria

Good fit for

  • You want to optimize a prompt or configuration against a benchmark
  • A long research run must keep track of the hypotheses tested

Not for

    Tags

    • experiments
    • parameters
    • optimization
    • benchmark

    About

    You say

    “Tune the parameters of this prompt on my test set and keep a record of each trial.”

    Card for the “Fast experiments to map parameters” skill

    Skill published by dzhng 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 map the effect of parameters on a measurable goal through short experiments
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md10.7 KB

    Origin and licence

    Listed unmodified

    Author
    dzhng
    Source
    github.com/dzhng/jevgrep/tree/9971e04061e43f91f1d248353fd057288bfd24cf/.agents/skills/auto-research
    Licence
    MIT

    Notice

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

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