test-cases

To auto-generate test cases from a PRD, this Skill reads PRD requirements, scene lists, and behavior specs to produce comprehensive test sets. It applies pairwise coverage to multi-dimensional inputs and exports results as Markdown deliverables ready for repository integration.

Pairwise coverage is a testing technique that ensures all binary parameter pairs are tested without exhaustive Cartesian products. This Skill applies constraints to filter invalid combinations across PRD and behavior-spec inputs, ensuring generated test scenarios remain executable and compliant with business rules.

Generating test scenarios from scene lists involves reading scene-list.md and behavior-spec files alongside PRD requirements. The Skill outputs candidate sets covering all binary parameter pairs as structured Markdown documents, streamlining manual test case creation and review processes.

Yes, you can use Python scripts to automate pairwise test case generation. The Skill provides a reusable pairwise_gen.py script that processes parameter sets, applies constraints, and exports the generated test cases directly into Markdown tables for project delivery.

Yes, the test case generation tool works without external dependencies. It operates standalone using provided Python scripts and reference components to parse PRD inputs and generate pairwise coverage matrices without requiring additional libraries or frameworks.

A limitation of pairwise coverage is that it focuses on binary parameter pairs, potentially missing higher-order interaction defects. However, this Skill mitigates risks by applying constraints to filter invalid combinations, ensuring the generated test sets align with specific PRD and behavior-spec business rules.