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doe-optimizer

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Skill for optimizing experimental designs using DOE principles

QUICK START

How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/scientific-discovery/skills/doe-optimizer/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/doe-optimizer/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

DOE Optimizer Skill

Purpose

Optimize experimental designs using Design of Experiments (DOE) principles for efficient factor screening and response optimization.

Capabilities

  • Create factorial designs
  • Generate fractional factorials
  • Build response surface designs
  • Optimize factor levels
  • Analyze design properties
  • Generate run orders

Usage Guidelines

  1. Define factors and levels
  2. Select design type
  3. Generate design matrix
  4. Analyze properties
  5. Optimize if needed
  6. Plan execution order

Process Integration

Works within scientific discovery workflows for:

  • Process optimization
  • Factor screening
  • Response modeling
  • Efficient experimentation

Configuration

  • Design type selection
  • Factor specifications
  • Resolution requirements
  • Optimization criteria

Output Artifacts

  • Design matrices
  • Run order lists
  • Property analyses
  • Optimization results