Can this skill be used with any programming language?

Yes, the methodology is language-agnostic and applies to any project that supports automated testing frameworks.

What is the primary benefit of the TDD Programming Workflow?

It forces a disciplined engineering approach where tests are written before implementation, leading to fewer bugs and more maintainable code structures.

Why does the skill include a design phase before coding?

A conceptual design phase ensures the architecture is sound and components have single responsibilities before any implementation time is spent.

How does the 'Red-Green-Refactor' loop work in this skill?

The AI first writes a failing test (Red), then the minimum code to pass (Green), and finally optimizes the code structure (Refactor) while keeping the test green.

Unified TDD Programming Workflow

Name: Unified TDD Programming Workflow
Author: cuipengfei

bycuipengfei

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Security & Testing

Implements a rigorous five-stage Test-Driven Development (TDD) cycle to produce high-quality, maintainable, and bug-free code.

About

The Unified TDD Programming Workflow is a specialized skill designed to transform AI coding interactions into a disciplined engineering process. By enforcing a structured lifecycle—starting with MECE requirement analysis and conceptual design before moving into the Red-Green-Refactor loop—this skill ensures that every piece of production code is preceded by a failing test. It is particularly useful for developers who want to minimize technical debt, maintain architectural integrity, and ensure that AI-generated code meets strict professional standards through continuous refactoring and self-review.

Key Features

5 GitHub stars
Conceptual design phase to ensure architectural clarity
Integrated self-review and documentation checkpoints
MECE-based requirement decomposition for complex tasks
Automated coaching mode for TDD best practices
Strict Red-Green-Refactor cycle enforcement

Use Cases

Developing new features where high reliability and test coverage are non-negotiable
Systematic bug fixing by recreating issues with failing tests first
Refactoring legacy codebases while ensuring functional parity through green tests

About

Key Features

5 GitHub stars
Conceptual design phase to ensure architectural clarity
Integrated self-review and documentation checkpoints
MECE-based requirement decomposition for complex tasks
Automated coaching mode for TDD best practices
Strict Red-Green-Refactor cycle enforcement

Use Cases

Developing new features where high reliability and test coverage are non-negotiable
Systematic bug fixing by recreating issues with failing tests first
Refactoring legacy codebases while ensuring functional parity through green tests