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Doe optimizer

Skill a5c-ai/babysitter/library/specializations/domains/science/scientific-discovery/skills/doe-optimizer

Skill for optimizing experimental designs using DOE principlesFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill doe-optimizer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.5 KB, 181 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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