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.

在以下情況下使用：以有限的實驗預算優化多因素系統、篩選許多變量以找到重要的少數變量、發現參數之間的相互作用、映射峰值性能的響應面、驗證對噪聲因素的魯棒性，或者當用戶提到因子設計、A/B/n 測試、參數調整、過程優化或實驗效率時。 來源：lyndonkl/claude。

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