QA Test Case Generator
Generates a structured set of test cases — happy path, edge cases, and negative tests — from a feature description or user story.
QA Test Case Generator is a free AI skill for testing & quality checks. Generates a structured set of test cases — happy path, edge cases, and negative tests — from a feature description or user story. It works with Claude, ChatGPT, Cursor and is ready to use out of the box.
About this skill
QA Test Case Generator turns a feature description or user story into a complete, structured test case suite. It covers the happy path, boundary/edge cases, negative/invalid-input tests, and any relevant cross-cutting concerns (permissions, concurrency, data limits) — formatted in a standard test case table ready to drop into a test management tool or ticket. Built for developers and QA engineers who need thorough coverage without manually brainstorming every case.
What it does
Given a feature description or user story, the skill outputs a numbered list of test cases, each with a title, preconditions, steps, expected result, and category (happy path / edge case / negative test), covering functional correctness and common failure modes.
What is included
- Happy path test case generation
- Edge case and boundary condition coverage
- Negative/invalid-input test generation
- Cross-cutting concern checks (permissions, concurrency, limits)
- Standard test case table format ready for test management tools
How to use it
1. Download the SKILL.md file 2. Upload it into a new Claude conversation 3. Provide a feature description or user story 4. Receive a complete, categorized test case suite
Examples
Feature: Users can reset their password via email link. Link expires after 1 hour.
TEST CASES 1. [Happy Path] Successful password reset Preconditions: User has valid account, requests reset Steps: Click reset link within 1 hour, enter new password, submit Expected: Password updated, user can log in with new password 2. [Edge Case] Link used at exactly 59:59 Expected: Reset succeeds (link still valid) 3. [Edge Case] Link used after expiry Expected: Error shown, user prompted to request new link 4. [Negative] Invalid/malformed token in URL Expected: Error page, no password change occurs 5. [Negative] New password doesn't meet complexity requirements Expected: Inline validation error, form not submitted 6. [Cross-cutting] Reset link used twice Expected: Second use rejected as link already consumed 7. [Cross-cutting] Concurrent reset requests for same account Expected: Only most recent link remains valid
FAQ
What is this skill for?
How do I install it?
Does it write automated test code?
What if my feature involves an API rather than a UI?
How is this different from just asking for 'test ideas'?
Can it generate test cases for non-functional requirements like performance?
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