test-gen

To generate unit tests covering edge cases and error flows, you provide the target codebase and the skill analyzes existing tests to identify coverage gaps, then creates behavior-driven scenarios for happy paths, exceptions, and boundary conditions using appropriate frameworks like pytest or JUnit 5.

Yes, you can use this to add tests to an existing suite without duplicating coverage because it analyzes your current tests first to identify remaining gaps, ensuring newly generated scenarios target only uncovered behavior paths.

The best way to automatically create mocks and stubs is to request test generation for your codebase, and the skill produces runnable test cases with the necessary mocks and stubs injected to isolate behavior during happy path and error scenario validation.

Yes, the generated test code works with different programming languages by applying language-idiomatic generation, selecting appropriate frameworks and testing patterns per language such as pytest for Python, JUnit 5 for Java, or table-driven tests for Go.

To verify that generated tests are runnable and improve coverage, the skill executes validation on the produced test cases and reports the resulting coverage metrics alongside any remaining gaps after the test suite runs.

Generating automated tests for error and exception cases instead of just happy paths reduces regressions and raises confidence in behavior by ensuring your code handles unexpected inputs and failure states correctly across critical paths.