design-matrix-construction
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/design-matrix-constructionConstructs balanced and orthogonal experiment design matrices with randomized run order
- Solves the problem of creating structured experimental designs from factors and levels
- Relies on factor-level definitions, design type, and budget constraints as inputs
- Applies statistical principles to ensure orthogonality, balance, and efficiency
- Returns a complete design matrix with randomized run order as structured output
SKILL.md
.github/skills/design-matrix-constructionView on GitHub ↗
--- name: design-matrix-construction description: "Build the experiment design matrix with proper orthogonality and balance" version: 1.0.0 category: experiment-execution type: sop execution: subagent prompt: ./prompt.md used-by: - factor-level-design - scaling-design - robustness-design - budget-constrained-design input: factors with levels, design type, budget constraint output: complete design matrix with run order --- # SOP: Design Matrix Construction Build the actual design matrix specifying all experimental runs, including proper orthogonality, balance, and randomized run order. Subagent — spawned via subagent-spawning/spawn-agent skill.