Skill for optimizing experimental designs using DOE principles
name doe-optimizer description Skill for optimizing experimental designs using DOE principles allowed-tools ["Bash","Read","Write"] metadata {"specialization":"scientific-discovery","domain":"science","category":"Experimental Design","skill-id":"SK-SCIDISC-016"} 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 Define factors and levels Select design type Generate design matrix Analyze properties Optimize if needed 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