# Doe Optimizer

> Skill for optimizing experimental designs using DOE principles

- Skill: `a5c-ai/doe-optimizer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/doe-optimizer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/doe-optimizer/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/doe-optimizer

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# 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