Can this skill help me implement TDD?

Yes, it is specifically configured to follow the Test-Driven Development cycle: writing a failing test first (Red), implementing minimal code (Green), and then improving the logic (Refactor).

How does it handle code coverage requirements?

The skill targets a minimum of 80% code coverage overall, with a strict requirement for 100% coverage on critical paths, utilizing pytest-cov for measurement.

What testing frameworks does this skill support?

This skill primarily focuses on pytest, the industry standard for Python testing, while also utilizing the standard library unittest.mock for patching and simulation.

Does it support testing for FastAPI or other async libraries?

Absolutely. The skill includes patterns for testing asynchronous code using pytest-asyncio, including async fixtures and awaiting mocked responses.

Python Testing Specialist

Name: Python Testing Specialist
Author: Infopibe

byInfopibe

•

Security & Testing

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

The Python Testing Specialist skill empowers Claude with a deep understanding of modern Python testing ecosystems. It focuses on the Test-Driven Development (TDD) lifecycle, providing specific patterns for pytest fixtures, advanced parametrization, and complex mocking scenarios. Whether you are building synchronous APIs or modern asynchronous applications, this skill ensures your code meets high coverage requirements and adheres to industry best practices for maintainability and reliability.

Key Features

01Standardized TDD workflow (Red, Green, Refactor)

02Advanced pytest fixture management and scoping

03Comprehensive async testing support using pytest-asyncio

041 GitHub stars

05Sophisticated mocking and patching for external dependencies

06Data-driven testing via complex parametrization

Use Cases

01Modernizing legacy codebases through high-coverage unit and integration tests

02Simulating complex API interactions and database states using mocks and fixtures

03Bootstrapping a new Python project with a robust test suite

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code python-testing

For use in Claude.ai and ChatGPT

Key Features

01Standardized TDD workflow (Red, Green, Refactor)

02Advanced pytest fixture management and scoping

03Comprehensive async testing support using pytest-asyncio

041 GitHub stars

05Sophisticated mocking and patching for external dependencies

06Data-driven testing via complex parametrization

Use Cases

01Modernizing legacy codebases through high-coverage unit and integration tests

02Simulating complex API interactions and database states using mocks and fixtures

03Bootstrapping a new Python project with a robust test suite

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code python-testing

For use in Claude.ai and ChatGPT