python-tdd

Name: python-tdd
Availability: InStock
Author: yurinakayama

Implement Python TDD workflows with pytest and 80% code coverage.

Updated Jun 25, 2026

Search Tags:#code quality #tdd #pytest #python #test-driven development

Ready to run

npx skills add https://github.com/YuriNakayama/neurogolf --skill python-tdd-yurinakayama

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-tdd
Source: https://github.com/YuriNakayama/neurogolf/tree/main/.claude/skills/python-tdd
Command: npx skills add https://github.com/YuriNakayama/neurogolf --skill python-tdd-yurinakayama

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps developers implement Test-Driven Development (TDD) in Python, ensuring high code quality and reliability.

Core Features & Use Cases

Test-First Development: Encourage writing tests before implementation.
Automated Testing: Use pytest for unit testing and coverage verification.
Code Refactoring: Refactor code while maintaining test coverage.
Use Case: A developer can use this Skill to implement a new function in a Python application by writing tests first, then writing the minimal code to pass those tests, and finally refactoring the code while keeping tests passing.

Quick Start

Write a test for your new Python function and ensure it fails, then implement the function.

Frequently Asked Questions about python-tdd

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I start test-driven development in Python for a new function?▼

To start test-driven development in Python, write a failing test for your new function first, implement the minimal code required to pass that test, and then refactor the application code while keeping the tests passing.

How does a pytest TDD workflow handle code coverage and refactoring?▼

A pytest TDD workflow handles code coverage by verifying automated unit tests achieve over 80% coverage, and manages refactoring by ensuring the existing test suite continues to pass while you improve the underlying code structure.

Can I use this TDD approach to improve code quality in existing Python applications?▼

Yes, you can use this TDD approach to improve code quality in existing Python applications by writing tests for current behaviors, refactoring the implementation safely, and maintaining high test coverage throughout the process.

What is the best way to achieve 80%+ code coverage using pytest in Python?▼

The best way to achieve 80%+ code coverage using pytest in Python is to follow a strict test-first workflow, writing comprehensive unit tests before implementation and continuously verifying coverage metrics during the refactoring phase.

Why should I write tests first before implementing code in Python?▼

You should write tests first before implementing code in Python to ensure your application logic is fully validated from the start, directly improving overall code quality, reliability, and long-term maintainability.

What are the limitations of using pytest for test-driven development in Python?▼

Using pytest for test-driven development in Python is specifically designed for new function implementations and code improvement tasks, meaning it may not be suitable for legacy systems lacking initial test structures or non-deterministic code environments.