How does it handle mocking external services?

It provides standardized patterns for using unittest.mock to patch external API calls, database connections, and file system operations.

Does it support Test-Driven Development (TDD)?

Yes, it is built around the TDD philosophy, guiding the user through the Red (fail), Green (pass), and Refactor stages of development.

What are the recommended coverage targets?

The skill recommends a minimum of 80% code coverage for general logic and 100% coverage for critical business paths.

What testing framework does this skill focus on?

This skill focuses on pytest, the industry-standard testing framework for Python, incorporating its best practices and ecosystem tools.

Can I use this for asynchronous Python code?

Absolutely. It includes specific patterns for testing async functions and fixtures using the pytest-asyncio library.

Python Testing Specialist

Name: Python Testing Specialist
Author: Infopibe

byInfopibe

•

Security & Testing

Implements comprehensive Python testing strategies using pytest and TDD methodologies to ensure code quality and reliability.

This skill equips Claude with a robust framework for designing, writing, and reviewing Python tests. It emphasizes Test-Driven Development (TDD) through the Red-Green-Refactor cycle and sets rigorous standards for code coverage, targeting at least 80% overall and 100% for critical paths. It provides detailed implementation patterns for advanced pytest features including complex fixtures, parameterization, and custom markers, as well as sophisticated mocking techniques for external APIs, databases, and asynchronous codebases.

Key Features

01Supports modern asynchronous testing with pytest-asyncio

02Defines standardized coverage requirements and reporting benchmarks

03Implements advanced pytest features like scoped fixtures and parameterization

041 GitHub stars

05Provides comprehensive mocking strategies for external APIs and system calls

06Enforces strict Test-Driven Development (TDD) workflow cycles

Use Cases

01Building high-reliability Python applications from scratch using TDD

02Designing complex test infrastructures for databases and async services

03Refactoring legacy codebases while maintaining 80%+ test coverage

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

01Supports modern asynchronous testing with pytest-asyncio

02Defines standardized coverage requirements and reporting benchmarks

03Implements advanced pytest features like scoped fixtures and parameterization

041 GitHub stars

05Provides comprehensive mocking strategies for external APIs and system calls

06Enforces strict Test-Driven Development (TDD) workflow cycles

Use Cases

01Building high-reliability Python applications from scratch using TDD

02Designing complex test infrastructures for databases and async services

03Refactoring legacy codebases while maintaining 80%+ test coverage

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