- name
- ai-testcase-generator
- description
- Use when turning requirements, screenshots, or other QA inputs into structured test cases and review questions with an AI-assisted workflow.
- tags
- [testing, qa, testcases, ai, automation, review]
- version
- 1.0.1
AI Test Case Generator
This ClawHub package is documentation-only. It does not embed runtime binaries, install scripts, or package manifests.
When to use
- A user wants test cases from a PRD, specification, screenshot, or plain text brief.
- You need a structured review loop for QA coverage before implementation or release.
- You want a checklist for turning requirements into executable test work.
Inputs to collect
- Requirement text or a file path
- Product stage: requirement review, implementation, or pre-release
- Preferred output language
- Any focus area such as security, edge cases, compatibility, or accessibility
Recommended workflow
- Extract the core flows.
Identify user journeys, rules, dependencies, and constraints.
- Group coverage by module.
Organize cases by feature area, API, UI surface, or role.
- Add negative and edge paths.
Include invalid input, permission boundaries, failures, and concurrency where relevant.
- Run a review pass.
Check coverage, clarity, execution readiness, and security impact.
Recommended outputs
- Test scope summary
- Test points grouped by module
- Detailed cases with steps and expected results
- Priority or severity labels
- Open questions for product or engineering
Guardrails
- Keep uploaded requirements confidential.
- State clearly when a case depends on missing product detail.
- Do not claim that spreadsheet, XMind, or binary exports were produced unless an actual generator runtime was used outside this skill bundle.