design-of-experiments

SKILL.md

Design of Experiments (DOE) helps you systematically discover how multiple factors affect an outcome while minimizing the number of experimental runs. Instead of testing one variable at a time (inefficient) or guessing randomly (unreliable), DOE uses structured experimental designs to:

Trigger phrases: "optimize", "tune parameters", "factorial test", "interaction effects", "response surface", "efficient experiments", "minimize runs", "robustness", "sensitivity analysis"

Design of Experiments is a statistical framework for planning, executing, and analyzing experiments where you deliberately vary multiple input factors to observe effects on output responses.

在以下情况下使用：以有限的实验预算优化多因素系统、筛选许多变量以找到重要的少数变量、发现参数之间的相互作用、映射峰值性能的响应面、验证对噪声因素的鲁棒性，或者当用户提到因子设计、A/B/n 测试、参数调整、过程优化或实验效率时。 来源：lyndonkl/claude。

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