Agent-Skills.md

Agent Skills: DOE Optimizer Skill

Skill for optimizing experimental designs using DOE principles

Experimental DesignID: a5c-ai/babysitter/doe-optimizer

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/scientific-discovery/skills/doe-optimizer

Skill Files

Browse the full folder contents for doe-optimizer.

Download Skill

Loading file tree…

plugins/babysitter/skills/babysit/process/specializations/domains/science/scientific-discovery/skills/doe-optimizer/SKILL.md

Skill Metadata

Name
doe-optimizer
Description
Skill for optimizing experimental designs using DOE principles

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