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Automation
Skill

/construct-design-matrix

Construct a balanced/randomized/orthogonal experimental design matrix appropriate to the chosen design mode.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-design-matrix --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/construct-design-matrix

Context preview

The summary Claude sees to decide when to auto-load this skill.

Construct a balanced/randomized/orthogonal experimental design matrix appropriate to the chosen design mode.

SKILL.md

construct-design-matrix.SKILL.md
name: construct-design-matrix
description: "Construct a balanced/randomized/orthogonal experimental design matrix appropriate to the chosen design mode."

construct-design-matrix

Purpose

Construct a balanced/randomized/orthogonal experimental design matrix appropriate to the chosen design mode.

Input contract

required: [factor_schema, design_mode, run_budget, randomization_constraints]
optional: [evidence, assumptions, prior_results]
constraints: [use named scientific objects; retain provenance and missingness; $\alpha$ = 0.05 and power = 0.8 where applicable]

Procedure

1. Validate the typed inputs and state the decision this operation must support. 2. Apply the declared operation to the named object; record intermediate values that affect interpretation. 3. Check boundary conditions and counterexamples, then emit the result with uncertainty and source links.

If the design cells are fixed but their outcomes and estimands are not, consider `specify-metrics` as the next tactic.

Output contract

produces: [construct_design_matrix_result, evidence_trace, uncertainties]
delta_fields: [evidence_updates, uncertainties]

Quality gates

  • Inputs are named scientific objects with compatible schemas.
  • Every material result has a derivation or source reference.
  • Fixed statistical criteria remain exact where applicable: $\alpha$ 0.05 and power 0.8.

Failure and counterexamples

Return a failed operation with the violated precondition when inputs are incomplete, assumptions are unsupported, or a counterexample defeats the result.

Provenance map

  • intermediate: experiment-execution/design-matrix-construction
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Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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