Test Design Techniques

The test-design-techniques skill enables AI agents to generate comprehensive testing strategies, including unit, integration, and end-to-end scenarios tailored to specific application logic. It assists in creating edge case coverage plans and defining acceptance criteria directly from user stories or technical specifications.

When to use it

• Generating initial test cases for new feature branches before code is merged.
• Identifying missing edge cases in complex business logic workflows.
• Creating regression test suites when modifying existing core modules.
• Translating high-level product requirements into executable verification steps.

Key capabilities

• Generates unit, integration, and end-to-end test scenarios.
• Analyzes user stories to derive acceptance criteria.
• Identifies potential edge cases based on input data types.
• Structures test plans aligned with software development lifecycles.

Example prompts

• "Create a set of unit tests for a Python function that calculates compound interest, including scenarios for negative rates and zero principal."
• "Generate integration test cases for a user registration flow that validates email format, password strength, and database persistence."
• "Design end-to-end acceptance criteria for a checkout process based on this user story: 'As a shopper, I want to apply a discount code at the final step.'"

Tips & gotchas

Ensure you provide clear context about the technology stack (e.g., Python, React) and specific library constraints when requesting test generation. The skill relies heavily on the quality of your input specifications; vague requirements may result in generic test scenarios that lack depth.