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Classification tree nwise

Skill jovd83/test-design-orchestrator/classification-tree-nwise

Transforms requirements and business rules into structured software test artifacts using the right black-box design technique.

Install
npx -y skills add jovd83/test-design-orchestrator --skill classification-tree-nwise

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Use this skill when Codex needs to model interacting parameters and generate reduced pairwise or n-wise combinations instead of an impractical full Cartesian set.

SKILL.md

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Classification Tree and N-Wise Testing

Read First

  • ./references/classification-tree-nwise.md
  • ./references/test-design-shared-conventions.md
  • ./assets/templates/minimum-criterion-table.j2
  • ./assets/templates/pairwise-table.j2
  • ./assets/templates/threewise-table.j2
  • ./assets/templates/nwise-table.j2

Workflow

  1. List classifications and allowed values.
  2. Capture constraints and impossible combinations before generating data.
  3. Default to pairwise coverage unless the user asks for a different interaction depth.
  4. Escalate to 3-wise or n-wise only when the risk justifies the extra volume.
  5. Preserve traceability from each generated combination back to the parameter values it covers.

Required Output

  • classification inventory
  • explicit constraint list
  • selected interaction depth and rationale
  • generated combination set
  • note on remaining uncovered higher-order interactions

Guardrails

  • Do not emit a full Cartesian product unless the user explicitly wants exhaustive coverage or the space is already small.
  • Remove impossible combinations before counting coverage.
  • If one parameter dominates the risk, say so instead of pretending all dimensions matter equally.

Keep looking

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