test-case-writer
GitHub将需求或用户故事转化为清晰、可执行的测试用例。涵盖正向、边界及异常场景，输出结构化表格并附覆盖率说明，确保测试步骤明确且结果可验证。
触发场景
安装
npx skills add mohitagw15856/pm-claude-skills --skill test-case-writer -g -y
SKILL.md
Frontmatter
{
"name": "test-case-writer",
"description": "Turn a requirement or user story into clear, executable test cases. Use when asked to write test cases, test scenarios, a test suite for a feature, or to derive tests from acceptance criteria. Produces structured test cases — preconditions, steps, test data, expected results — across happy path, edge cases, and negative cases, plus a coverage note, so a tester (or automation) can run them without guessing."
}
Test Case Writer Skill
Good test cases are unambiguous and complete: anyone can run them and get the same result, and together they cover the ways the feature can succeed and fail. This skill derives test cases from a requirement or user story — happy path first, then the edge and negative cases that find real bugs — each written so it's directly executable.
Working from a brief
Given a user story or a one-line feature description, write the test cases anyway — infer the acceptance criteria, boundaries, and likely failure modes, labelling assumptions. Always include edge and negative cases, not just the happy path. Never hand back questions instead of cases.
Required Inputs
Ask for these only if they aren't already provided (else infer and label):
- The requirement — the feature/user story and its acceptance criteria.
- Inputs & rules — fields, valid/invalid values, limits, and business rules that define correct behaviour.
- Scope & environment — UI/API/both, platforms, and any preconditions (logged-in, data state).
- Priority — what matters most (critical paths), so cases can be ordered.
Output Format
Test Cases: [feature]
A short intro line, then cases in a table (or per-case blocks for complex flows):
| ID | Title | Type | Preconditions | Steps | Test data | Expected result | Priority |
|---|---|---|---|---|---|---|---|
| TC-01 | Valid login | Happy path | user exists | 1. … 2. … | valid creds | logged in, lands on … | High |
| TC-02 | Wrong password | Negative | user exists | … | bad password | error shown, not logged in | High |
| TC-03 | Empty fields | Negative/validation | — | … | blank | inline validation | Med |
| TC-04 | Max-length input | Edge/boundary | — | … | boundary value | accepted/handled | Med |
Cover, deliberately: happy path, boundary/edge (empty, max, min, just over/under limits), negative (invalid input, wrong state, unauthorised), and any business-rule cases.
End with a coverage note: which acceptance criteria/requirements each case maps to, and any gaps or risks to flag for review.
Quality Checks
- Each case has clear preconditions, numbered steps, the test data, and a single expected result
- Steps are unambiguous — two testers would execute them identically
- Coverage includes edge/boundary and negative cases, not just the happy path
- Cases trace back to the acceptance criteria / requirement (coverage note)
- Cases are prioritised so the critical paths are obvious
- Expected results are specific and verifiable (not "works correctly")
Anti-Patterns
- Do not write only happy-path cases — the bugs live in the edges and negatives
- Do not write vague steps ("test the login") — give the exact actions and data
- Do not use unverifiable expected results ("it should work") — state the observable outcome
- Do not combine many checks into one bloated case — keep cases atomic and traceable
- Do not skip preconditions/test data — they're why a case is reproducible
Based On
Test-design practice — requirement-derived cases with boundary-value and negative testing, atomic executable steps, and traceability to acceptance criteria.
版本历史
- a38bc30 当前 2026-07-05 11:45
