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test-driven-development

Enforce test-first development with RED-GREEN-REFACTOR cycles and bug fix patterns.

Updated Jun 21, 2026
Search Tags:#code quality#tdd#test automation#unit testing#bug fixing#test-driven development#software testing
One-click install
npx skills add https://github.com/Huytutu/KRONOS --skill test-driven-development-huytutu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: test-driven-development
Source: https://github.com/Huytutu/KRONOS/tree/main/.agents/skills/test-driven-development
Command: npx skills add https://github.com/Huytutu/KRONOS --skill test-driven-development-huytutu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of shipping untested, buggy code, unexpected regressions when modifying existing functionality, and the time wasted on manual testing and reactive bug fixes by enforcing a test-first development workflow.

Core Features & Use Cases

  • TDD Cycle Guidance: Step-by-step RED-GREEN-REFACTOR workflow for implementing new features with tests that prove correct behavior.
  • Prove-It Bug Fix Pattern: Reproduce bugs with failing tests before implementing fixes to ensure issues are fully resolved and guarded against regressions.
  • Test Best Practices: Guidance on test structure, anti-patterns to avoid, test sizing, and the test pyramid to build maintainable, reliable test suites.
  • Use Case: When adding a new payment processing feature to an e-commerce platform, use this Skill to write failing tests for successful payments, failed transactions, and refund flows first, then implement the code to pass all tests, ensuring no regressions when updating payment logic later.

Quick Start

Use the test-driven-development skill to write a failing test that reproduces the reported bug in the user login flow before implementing the fix.

Frequently Asked Questions about test-driven-development

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

FAQPage Schema
How do I write tests before implementing new features using test-driven development?▼

Test-driven development enforces a structured RED-GREEN-REFACTOR cycle to guide you through writing failing tests first, implementing code to pass them, and refining for maintainable test suites. This workflow ensures verifiable proof of correct behavior for new features.

What is the best way to fix bugs without causing regressions in existing functionality?▼

The Prove-It bug fix pattern reproduces bugs with failing tests before implementing fixes, ensuring issues are fully resolved and guarded against regressions. This test-first approach provides verifiable proof that the bug is eliminated without breaking existing functionality.

How does test-driven development improve code quality and reduce manual testing?▼

Test-driven development eliminates untested, buggy code and unexpected regressions by enforcing a test-first workflow. It replaces manual testing and reactive bug fixes with automated test suites that provide verifiable proof of correct behavior across any codebase.

Can I apply test-driven development to modify existing code and add new payment processing flows?▼

Yes, test-driven development applies to all software engineering tasks including new feature implementation, bug reproduction, and existing functionality modification. You can write failing tests for successful payments, failed transactions, and refund flows first to ensure no regressions when updating logic.

What test structure and sizing best practices should I follow to build maintainable test suites?▼

Test-driven development provides guidance on test structure, anti-patterns to avoid, test sizing, and the test pyramid to build maintainable, reliable test suites. Following these best practices ensures code correctness and prevents regression-prone test code.

When should I not use a test-first development workflow for my software engineering tasks?▼

Test-first development workflows are designed for eliminating unreliable, regression-prone code but are not suitable for rapid prototyping or exploratory coding where verifiable proof of correct behavior is not yet required. It is best applied when code correctness and maintainability are critical.

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