skill-testing-pytest

What problem does it solve?

This Skill shows best practices for testing Python projects with pytest, covering fixtures, parameterization, mocking with unittest.mock, and async testing to improve test reliability and organization.

Core Features & Use Cases

• Structured testing with fixtures, parameterization, and mocking to create robust unit and integration tests.
• Async testing support for async code paths and asynchronous I/O.
• HTTP integration test patterns with FastAPI test client examples and reusable test utilities.
• Test organization and utilities including factories, fixtures, and clean environments to ensure isolation.

Quick Start

Create a simple pytest suite that uses a fixture to provide a test resource and a couple of test cases to validate core behavior.