What problem does it solve?
This Skill helps you avoid flaky, hard-to-maintain test suites by giving proven pytest patterns for organizing tests, setting up fixtures, mocking dependencies, and validating both success and failure paths.
Core Features & Use Cases
- Test suite structure with AAA: Use the Arrange-Act-Assert pattern to make each test’s intent clear and debugging straightforward.
- Fixtures for reliable setup/teardown: Create function, module, and session-scoped fixtures to manage shared resources safely.
- Mocking for isolation: Use unittest.mock techniques to simulate external services, error conditions, and side effects deterministically.
- Coverage of edge cases: Test exception paths, parameter variations, async behavior, and time-dependent logic using dedicated patterns.
- Integration-ready organization: Organize tests into unit, integration, and end-to-end folders to keep scope manageable as the project grows.
Quick Start
Use the python-testing-patterns skill to generate a set of pytest unit tests for a feature, including fixtures and mocked dependencies, for the attached Python module.
