How does it handle code coverage?

It integrates coverage requirements, typically targeting 80% or higher, and provides commands for generating terminal and HTML coverage reports using pytest-cov.

Can it help with testing database or API calls?

Absolutely. It includes patterns for mocking external dependencies and using fixtures to manage database setup and teardown.

Does this skill support Test-Driven Development (TDD)?

Yes, it strictly follows the Red-Green-Refactor cycle, helping you write failing tests first to define behavior before implementation.

Is asynchronous code supported?

Yes, the skill provides specific patterns for testing async functions and managing async fixtures using pytest-asyncio.

What testing framework does this skill focus on?

It primarily uses pytest, the industry standard for Python testing, along with its extensive ecosystem of plugins like pytest-cov and pytest-asyncio.

Python Testing Patterns

Name: Python Testing Patterns
Author: Fabio29T

byFabio29T

0•

Seguridad y Pruebas

Implements comprehensive Python testing strategies using pytest, Test-Driven Development (TDD) methodologies, and advanced mocking techniques.

This skill provides Claude with deep expertise in the Python testing ecosystem, centered around the pytest framework. It enables the AI to guide developers through the full TDD lifecycle—Red, Green, Refactor—while ensuring high code coverage and maintainability. It covers critical testing patterns including fixture management with various scopes, complex mocking of external dependencies, data-driven testing via parametrization, and modern asynchronous testing. It is an essential companion for developers looking to build robust, production-grade Python applications with a focus on quality and automated verification.

Características Principales

01Comprehensive mocking and patching for external dependencies and APIs

02Data-driven testing via complex parametrization and custom markers

030 GitHub stars

04Standardized TDD workflows (Red/Green/Refactor cycle)

05Asynchronous testing patterns with pytest-asyncio support

06Advanced pytest fixture management and scoping (session, module, function)

Casos de Uso

01Building a new Python module from scratch using strict TDD principles

02Testing complex API and database interactions using mocks and async handlers

03Refactoring legacy Python code while maintaining and verifying 80%+ test coverage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add fabio29t/everything-claude python-testing

For use in Claude.ai and ChatGPT

Características Principales

01Comprehensive mocking and patching for external dependencies and APIs

02Data-driven testing via complex parametrization and custom markers

030 GitHub stars

04Standardized TDD workflows (Red/Green/Refactor cycle)

05Asynchronous testing patterns with pytest-asyncio support

06Advanced pytest fixture management and scoping (session, module, function)

Casos de Uso

01Building a new Python module from scratch using strict TDD principles

02Testing complex API and database interactions using mocks and async handlers

03Refactoring legacy Python code while maintaining and verifying 80%+ test coverage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add fabio29t/everything-claude python-testing

For use in Claude.ai and ChatGPT