test-driven-development

Name: test-driven-development
Availability: InStock
Author: miptah21

Implement test-first workflows with failing tests before production code changes.

2|Updated Apr 8, 2026

Search Tags:#unit tests #testing #tdd #software quality #regression prevention #red-green-refactor #bugfix workflow

Ready to run

npx skills add https://github.com/miptah21/skills --skill test-driven-development-miptah21

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: test-driven-development
Source: https://github.com/miptah21/skills/tree/main/.agents/skills/test-driven-development
Command: npx skills add https://github.com/miptah21/skills --skill test-driven-development-miptah21

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents fragile implementations and regressions by forcing you to define behavior upfront with a failing test before writing production code.

Core Features & Use Cases

Test-first workflow: Write a minimal test, verify it fails for the right reason, implement the smallest fix, then verify it passes.
Clear correctness checks: Ensure failures are due to missing feature behavior (not typos) and that the green state is truly clean.
Disciplined iteration: Refactor only after green, keep scope tight, and repeat with the next failing test to expand coverage safely.
Bug-fix discipline: Turn a discovered bug into a failing test that reproduces it, then follow red-green-refactor to fix it and avoid recurrence.

Quick Start

Use the test-driven-development skill to implement your next feature by writing a single failing test for the intended behavior, then adding the smallest production code needed to make it pass.

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 prevent software regressions?▼

Test-driven development prevents software regressions by requiring a failing test to guide minimal production code changes. You verify each test fails for the expected reason, implement the smallest fix, then confirm it passes before refactoring.

What is the red-green-refactor cycle for unit tests?▼

The red-green-refactor cycle for unit tests involves writing a failing test, adding the smallest production code to make it pass, and refactoring only after achieving a clean green state. This disciplined iteration expands coverage safely.

How to fix bugs using a test-first workflow?▼

To fix bugs using a test-first workflow, turn the discovered bug into a failing unit test that reproduces it. Then follow red-green-refactor to implement the fix, ensuring the test passes and preventing recurrence.

When should I not use mocks-only verification for TDD?▼

You should avoid mocks-only verification for TDD when correctness must be proven before implementation. The discipline requires verifying that tests fail for the right reason and pass with clean output, avoiding over-engineered code and fragile implementations.

Can I define API behavior using test-first engineering?▼

Yes, you can define API behavior using test-first engineering by writing a failing test for the intended behavior upfront. This forces you to define the expected API behavior before writing any production code.

What's the best way to start TDD for a new feature?▼

The best way to start TDD for a new feature is to write a single failing unit test for the intended behavior. Then add the smallest production code needed to make it pass, keeping the scope tight.