requirement-to-test · v1.0.0 · 2026-11-03 · sha256 b5fa951ffb4d2e0a
requirement-to-test v1.0.0A
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--- name: requirement-to-test description: Use this skill when you need to turn requirements into testable, risk-driven, traceable test design; triggers include requirement-to-test, 需求到测试, and Requirement-to-Test Workflow. license: PolyForm-Noncommercial-1.0.0 metadata: version: "1.0.0" compatibility: "" author: "Awesome QA Skills contributors" language: "en" category: "testing-workflows" source: "https://github.com/naodeng/awesome-qa-skills" license-url: "https://polyformproject.org/licenses/noncommercial/1.0.0" --- # Requirement-to-Test Workflow ## When to Use Use this Skill to turn requirements into testable, risk-driven, traceable test design. ## Output Format Options Default to Markdown with test cases and a requirement traceability matrix. If JSON is requested, preserve the prompt's separate facts, inferences, plans, execution states, and sources. ## Core constraints Compose existing specialist Skills without copying their analysis rules. Mark host installation `UNKNOWN` without evidence. Do not report plans or static analysis as executed results. Read-only by default; external writes require authorization. ## How to Use Read `prompts/requirement-to-test.md` first; validate inputs, complete each stage, preserve sources, and return testability findings, test design, and coverage gaps. Use `README.md` for invocation examples and FAQ. ## Reference Files - `prompts/requirement-to-test.md`: full requirement analysis, test design, output, and recovery rules. - `README.md`: usage examples and FAQ. - `evals/`: trigger and behavior regression cases. ## Before delivery - [ ] Input scope and assumptions are explicit - [ ] Handoffs preserve sources, status, and gaps - [ ] Execution evidence is separate from plans - [ ] Next steps and permission boundary are clear ## Common Pitfalls Do not invent input, assume dependencies are installed, or present recommendations as execution or approval. ## Best Practices Preserve requirement IDs, ask about missing thresholds, state each case's source and design method, and explain uncovered areas.