Does this skill support asynchronous Python testing?

Yes, it includes specific patterns and best practices for testing async functions using the pytest-asyncio library.

How does it handle external dependencies like APIs?

The skill provides extensive guidance on using unittest.mock to patch functions, classes, and context managers, allowing you to isolate your code during testing.

Can it help me reach specific code coverage goals?

Absolutely. It integrates coverage requirements (targeting 80% to 100% for critical paths) and demonstrates how to use pytest-cov to track and report on test effectiveness.

Is TDD a requirement for using this skill?

While the skill strongly advocates for the TDD cycle (Red-Green-Refactor), it is equally effective for adding tests to existing codebases or reviewing current test suites.

What is the benefit of using the conftest.py patterns included?

The conftest.py patterns allow for shared fixtures across multiple test files, making your test suite more modular, readable, and easier to maintain.

Python Testing Specialist

Name: Python Testing Specialist
Author: unju-ai

byunju-ai

0•

安全与测试

Implements comprehensive Python testing strategies using pytest, TDD methodologies, and advanced mocking patterns.

This skill equips Claude with a robust framework for Python application testing, emphasizing Test-Driven Development (TDD) and high code coverage standards. It provides deep expertise in pytest features including fixtures, parameterization, and custom markers, alongside sophisticated mocking techniques for external APIs and database connections. Whether building new features from scratch or refactoring legacy code, this skill ensures that Python projects remain resilient, maintainable, and thoroughly verified through unit, integration, and asynchronous testing patterns.

主要功能

01TDD workflow implementation using Red-Green-Refactor cycles

020 GitHub stars

03Comprehensive mocking and patching strategies for isolating external dependencies

04Automated code coverage analysis and requirement enforcement

05Asynchronous code testing support via pytest-asyncio patterns

06Advanced pytest fixture management with various scopes and setup/teardown logic

使用场景

01Refactoring legacy Python codebases while maintaining a 100% coverage on critical paths

02Implementing complex integration tests for APIs and database interactions using shared fixtures

03Building a new Python microservice from scratch using strict TDD principles

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add unju-ai/ecc python-testing

For use in Claude.ai and ChatGPT