generate-test-cases

To generate test cases from Markdown requirements, provide the document to the Skill and it outputs a professional test case tree exported as an XMind file. The workflow supports multimodal inputs including text and images.

Supported test case design methods include Equivalence Partitioning (EP), Boundary Value Analysis (BVA), State Transition (ST), and Error Guessing (EG). The process maintains two-way traceability linking generated cases back to the original requirements.

Yes, a memory system saves user preferences, terminology, and generation history across sessions. This continuous learning mechanism persists your settings to enhance test case generation quality over time without manual repetition.

Yes, the XMind export supports multimodal inputs by processing both text and images from the Markdown requirements. This allows the generated test case tree to accurately reflect visual and textual feature details.

A self-check gate ensures test case quality by automatically validating generated outputs against predefined standards before export. This quality control mechanism reduces the need for manual human intervention and review.

The best way to maintain two-way traceability is using the automated generation workflow that links Markdown requirements directly to the XMind test case tree. This mapping ensures every test case tracks back to its source feature.