Python Testing

What it does

Provides a complete, practical reference for testing Python projects using pytest and related tools. Covers test structure, fixtures with scopes, parameterized tests, mocking patterns (pytest-mock), async testing with pytest-asyncio, coverage configuration, FastAPI testing with httpx, property-based testing with Hypothesis, and snapshot testing. Includes examples, recommended commands, and configuration snippets to get reproducible, high-coverage test suites.

When to use it

Use this skill when you need to: write or improve pytest test suites, add fixtures and scoped resources, mock external dependencies, test async code or FastAPI endpoints, measure and enforce coverage, or adopt property-based/snapshot testing practices. It activates for test authoring, CI test pipeline setup, debugging flaky tests, or onboarding testing patterns for a Python codebase.

What's included

• Scripts: none bundled, but rich references and config examples are present (has_references=true).
• References: pytest patterns, fixture recipes, coverage config, async + FastAPI examples, Hypothesis and snapshot testing notes.
• Instructions: Quick command reference, fixture examples, parametrize patterns, mocking recipes, async fixtures, coverage run examples, test organization recommendations, and best practices for naming and assertions.

Compatible agents

{}