testing-python

You can generate Python tests from a story spec by providing the story spec path, which triggers automated test creation under the story's tests directory using pytest conventions and explicit typing. The skill writes test files directly to the specified output folder.

Yes, you can fix existing pytest test files using the FIX mode, which applies reviewer feedback while preserving the original test intent and style. It enforces typing and dependency-injection friendly patterns during the repair process.

The best way to enforce typing and pytest conventions is to automate test generation from a story spec, which inherently applies explicit typing, named constants, and DI-friendly patterns. This ensures all newly created or repaired tests meet strict structural standards.

Yes, automated Python test generation explicitly supports dependency-injection friendly patterns alongside pytest structure and type hints. This ensures the generated tests are modular, maintainable, and compatible with modern dependency injection frameworks.

To structure pytest test files for a story specification, input the spec path to automatically generate tests with appropriate level markers under the story's tests directory. The generated files follow standardized pytest conventions and typing rules.

You should use automated test generation to reduce manual authoring time and improve test coverage by directly translating story specifications into pytest files. It guarantees consistent typing, named constants, and DI-friendly patterns across all generated tests.