python-testing

Pytest fixtures provide reusable test data by defining functions that set up and tear down contexts. This Skill automates pytest fixture conventions to ensure isolated, maintainable Python test suites across your project.

The red-green-refactor cycle in TDD involves writing a failing test, writing code to pass it, then refactoring. This Skill applies this workflow to drive module design and ensure tests guide your Python implementation.

Measure Python test coverage by running pytest with coverage reporting tools. This Skill enforces consistent coverage targets, aiming for 80%+ overall coverage with higher priority on critical paths.

Mocking isolates external dependencies by replacing them with controlled objects during Python testing. This Skill supports pytest-based mocking to ensure your tests remain reliable and independent of external systems.

Parameterized tests in pytest allow running the same test logic against multiple inputs. This Skill builds flexible test cases using pytest parametrization conventions to validate Python modules thoroughly.