addy-test-driven-development

Write failing tests, implement minimal code, and refactor for clarity.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/japurcell/skills --skill addy-test-driven-development
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: addy-test-driven-development
Source: https://github.com/japurcell/skills/tree/main/skills/addy-test-driven-development
Command: npx skills add https://github.com/japurcell/skills --skill addy-test-driven-development

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Drives development by ensuring that code behavior is verified with tests before implementation, reducing regressions and facilitating bug fixes.

Core Features & Use Cases

  • Test-First Development: Write tests before code to define expected behavior.
  • Bug Reproduction & Fixation: Use the Prove-It pattern to reproduce bugs with tests and drive fixes.
  • Incremental Quality Assurance: Apply TDD across features to maintain code health and confidence in refactors.

Quick Start

Start by writing a failing test that captures the desired behavior, then implement the minimal code to make it pass.

Frequently Asked Questions about addy-test-driven-development

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

FAQPage Schema
What is test-driven development and how does it improve code quality?

Test-driven development is a practice where you write a failing test that captures desired behavior before implementing the minimal code to pass it. This reduces regressions and facilitates bug fixes by verifying behavior upfront.

How do I fix bugs using the Prove-It pattern in unit testing?

The Prove-It pattern in unit testing reproduces a bug by writing a failing test that captures the erroneous behavior. You then implement the minimal code fix to make the test pass, ensuring the regression is permanently documented in your test suite.

How do I start writing tests before code to define expected behavior?

Start writing tests before code by identifying the desired behavior and writing a failing test that captures it. Then, implement the minimal code required to make the test pass, and finally refactor the implementation for clarity without breaking the test.

Does test-driven development work for maintaining code health during refactoring?

Test-driven development maintains code health during refactoring by ensuring a robust test suite covers edge cases. This incremental quality assurance gives you confidence that refactoring existing features will not introduce unexpected regressions.

When should I not use test-driven development for software testing?

You should reconsider test-driven development when exploring highly experimental code where desired behavior is not yet defined. TDD requires a clear understanding of expected outcomes upfront to write a meaningful failing test before implementation.