test-driven-development

Guide test-driven development with Python unit and integration tests.

Updated Jun 24, 2026
One-click install
npx skills add https://github.com/udsy19/.claude --skill test-driven-development-udsy19
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: test-driven-development
Source: https://github.com/udsy19/.claude/tree/main/skills/test-driven-development
Command: npx skills add https://github.com/udsy19/.claude --skill test-driven-development-udsy19

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for test-driven development, ensuring robust code quality and easier maintenance.

Core Features & Use Cases

  • Test-Driven Development Cycle: Guides through writing failing tests, writing minimal code to pass them, and refactoring with confidence.
  • Prove-It Pattern: Ensures bugs are reproducible with tests before attempting fixes, validating changes before committing.
  • Test Pyramid: Promotes a balanced testing strategy with a focus on unit tests and progressive testing up to end-to-end scenarios.

Quick Start

Use the test-driven-development skill to run all tests for your codebase.

Frequently Asked Questions about test-driven-development

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

FAQPage Schema
How do I use test-driven development to fix bugs in Python?

Test-driven development fixes bugs by using the Prove-It Pattern to write a failing unit test that reproduces the bug. You then write minimal code to pass the test and refactor, ensuring the bug is validated and fixed.

What is the test pyramid strategy for software testing?

The test pyramid is a software testing strategy that promotes a balanced approach. It focuses on building a strong foundation of unit tests and progressively scales testing up to broader end-to-end scenarios to ensure maintainability.

How do I write unit tests to guard against code regressions?

You write unit tests to guard against regressions by following a structured test-driven development cycle. This involves creating failing tests, writing minimal code to pass them, and refactoring with confidence to reduce regression risk.

Can I use test-driven development for integration tests in Python?

Yes, you can use test-driven development for integration tests in Python. This Skill provides a structured approach for test development and verification across various scenarios, specifically using Python for both unit and integration tests.

What is the best way to structure a test-driven development cycle?

The best way to structure a test-driven development cycle is to write a failing test, write the minimal code required to pass that test, and then refactor with confidence. This ensures robust code quality and easier maintenance.

Why should I reproduce bugs with unit tests before fixing them?

Reproducing bugs with unit tests before fixing them ensures the bug is validated and reproducible. This Prove-It Pattern approach validates your changes before committing, reducing the risk of regressions and ensuring maintainability.