Is it possible to filter and run specific test groups?

Yes, the skill includes guidance on configuring custom markers in pytest.ini and using CLI arguments to run specific subsets like 'slow', 'integration', or 'unit' tests.

Does this skill support asynchronous Python testing?

Yes, it includes comprehensive patterns for testing asynchronous code using pytest-asyncio, including async fixtures and awaiting mocked functions.

What testing methodology does this skill promote?

It strictly follows the Test-Driven Development (TDD) cycle: writing a failing test (Red), implementing minimal code (Green), and then improving the code (Refactor).

How does the skill handle code coverage requirements?

The skill establishes a baseline target of 80% code coverage, requiring 100% coverage for critical paths, and provides the specific pytest-cov commands needed to measure these metrics.

Can I use this for complex mocking of external dependencies?

Absolutely. It provides strategies for mocking functions, class instances, properties, and context managers using unittest.mock and autospec to catch API misuse.

Python Testing Strategies

Name: Python Testing Strategies
Author: flatrick

byflatrick

0•

セキュリティとテスト

Implements comprehensive Python testing workflows using pytest, TDD methodologies, and advanced mocking techniques.

This skill equips Claude with specialized knowledge for architecting and implementing robust Python test suites using industry-standard tools and practices. It emphasizes Test-Driven Development (TDD), ensuring high code quality through the Red-Green-Refactor cycle and rigorous coverage requirements. By providing deep expertise in pytest fixtures, parametrization, and complex mocking scenarios—including async functions and context managers—it helps developers build maintainable, error-resistant applications while maintaining a standardized testing philosophy across Python projects.

主な機能

01Async testing support with pytest-asyncio and awaited mock patterns

020 GitHub stars

03Data-driven testing via extensive parametrization and custom markers

04Standardized TDD workflow guidance (Red-Green-Refactor)

05Advanced pytest fixture management with scoped setup and teardown

06Comprehensive mocking and patching for external APIs and dependencies

ユースケース

01Improving legacy code reliability by implementing 100% coverage on critical paths

02Simulating complex failure states and external API errors using advanced mocking

03Designing a robust unit and integration test suite for a new Python backend service

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add flatrick/mdt python-testing

For use in Claude.ai and ChatGPT