Does this skill work with asynchronous Python code?

Yes, it includes specific patterns for testing async functions using pytest-asyncio and handling concurrent operations.

Does it help with code coverage?

Yes, it provides guidance on identifying untested code paths and implementing meaningful coverage rather than just hitting percentages.

Can I use this for API testing?

Absolutely. It provides patterns for mocking requests, testing status codes, and verifying JSON responses for REST APIs.

What testing framework does this skill prefer?

The skill is optimized for pytest, the industry standard for Python, but follows universal testing principles applicable elsewhere.

Python Testing Patterns

Name: Python Testing Patterns
Author: donggyun112

bydonggyun112

•

Seguridad y Pruebas

Implements comprehensive Python testing strategies using pytest, advanced fixtures, and robust mocking techniques.

Acerca de

This skill equips Claude with deep expertise in Python testing paradigms, enabling the generation of production-grade test suites. It covers everything from basic unit testing and the AAA (Arrange-Act-Assert) pattern to complex scenarios like mocking external dependencies, testing asynchronous operations, and managing temporary filesystem state. Whether you are implementing Test-Driven Development (TDD) or building integration tests for APIs, this skill ensures your Python code is reliable, maintainable, and thoroughly verified.

Características Principales

Parameterized testing for comprehensive edge-case coverage
Asyncio testing patterns for concurrent operations
3 GitHub stars
Pytest suite architecture and configuration
Advanced fixture management with session and module scoping
Mocking external dependencies using unittest.mock and patch

Casos de Uso

Setting up automated testing workflows for CI/CD pipelines
Building robust unit and integration test suites for new Python services
Implementing mocking for external API calls and database connections

Acerca de

Características Principales

Parameterized testing for comprehensive edge-case coverage
Asyncio testing patterns for concurrent operations
3 GitHub stars
Pytest suite architecture and configuration
Advanced fixture management with session and module scoping
Mocking external dependencies using unittest.mock and patch

Casos de Uso

Setting up automated testing workflows for CI/CD pipelines
Building robust unit and integration test suites for new Python services
Implementing mocking for external API calls and database connections