How does this skill support Test-Driven Development (TDD)?

It provides a clear framework for the Red-Green-Refactor cycle, guiding you to write failing tests first, implement minimal code to pass, and then refactor for quality.

What is the recommended code coverage level?

The skill establishes a general goal of 80% coverage for the project, while requiring 100% coverage for critical business logic paths.

Can I share test fixtures across multiple modules?

Yes, it includes documentation on using conftest.py to define shared fixtures that are automatically discoverable by all tests in a directory.

Does this skill help with testing asynchronous Python code?

Yes, it includes specific implementation patterns for pytest-asyncio, including async fixtures and awaiting mocked functions.

How do I handle external API calls in my tests?

The skill provides detailed patterns for using unittest.mock and patch to simulate API responses and verify function calls without making actual network requests.

Python Testing & TDD Patterns

Name: Python Testing & TDD Patterns
Author: oabdelmaksoud

byoabdelmaksoud

0•

Security & Testing

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

This skill empowers developers to build highly reliable Python applications by providing standardized patterns for the entire testing lifecycle. It guides users through the Red-Green-Refactor TDD cycle, ensures code quality with coverage targets, and masters the pytest ecosystem—from basic assertions to complex fixtures and session-scoped resources. It includes specialized patterns for mocking external dependencies, testing asynchronous code with pytest-asyncio, and handling edge cases with parameterized tests, making it an essential companion for both unit and integration testing workflows.

Key Features

01Test-Driven Development (TDD) workflow automation

02Sophisticated mocking and patching for external APIs and services

030 GitHub stars

04Asynchronous testing patterns for modern Python applications

05Comprehensive parameterized testing for diverse input validation

06Advanced pytest fixture management (setup, teardown, and scopes)

Use Cases

01Establishing a robust test suite for a new Python backend service

02Migrating legacy codebases to TDD while ensuring 80%+ code coverage

03Mocking complex database connections and external API integrations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw python-testing

For use in Claude.ai and ChatGPT

Key Features

01Test-Driven Development (TDD) workflow automation

02Sophisticated mocking and patching for external APIs and services

030 GitHub stars

04Asynchronous testing patterns for modern Python applications

05Comprehensive parameterized testing for diverse input validation

06Advanced pytest fixture management (setup, teardown, and scopes)

Use Cases

01Establishing a robust test suite for a new Python backend service

02Migrating legacy codebases to TDD while ensuring 80%+ code coverage

03Mocking complex database connections and external API integrations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw python-testing

For use in Claude.ai and ChatGPT