How does the Refactor phase work?

The skill identifies code smells and applies patterns like 'extract_method' or 'remove_duplication' while continuously running tests to ensure no regressions are introduced.

What happens if a test passes unexpectedly in the Red phase?

The runner identifies that the test passed unexpectedly and prompts for more specific assertions to ensure the test is valid and actually testing new functionality.

Which test frameworks does AC TDD Runner support?

The skill is pre-configured to work with Pytest but can be customized to support various testing frameworks through its configuration settings.

Can I set a minimum code coverage threshold?

Yes, you can define a coverage_threshold in the configuration to ensure that your TDD cycles meet your project's quality requirements.

What is the Red-Green-Refactor cycle?

It is a TDD process where you first write a failing test (Red), write the minimum code to pass it (Green), and then optimize the code structure without changing behavior (Refactor).

AC TDD Runner

Name: AC TDD Runner
Author: adaptationio

byadaptationio

Seguridad y Pruebas

Automates the complete Red-Green-Refactor Test-Driven Development cycle for feature implementation.

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AC TDD Runner is a specialized Claude Code skill designed to enforce and automate the Red-Green-Refactor methodology during software development. It ensures high code quality and maintainability by managing the transition from writing failing tests to implementing minimum passing code and finally refactoring for clarity. By integrating with test generators and validators, it provides a structured workflow that guarantees features are built with a test-first approach, complete with coverage reporting and automated iteration management.

Características Principales

Configurable iteration limits and coverage thresholds for quality control
0 GitHub stars
Automated Red phase for generating and verifying failing test cases
Iterative Green phase to implement the minimum necessary code for passing tests
Refactor phase with support for common patterns like method extraction
Comprehensive cycle reporting including coverage metrics and phase status

Casos de Uso

Automating the transition between unit test creation and code implementation
Implementing new software features using strict test-first development
Enforcing coding standards and high test coverage across a development team

Acerca de

Características Principales

Configurable iteration limits and coverage thresholds for quality control
0 GitHub stars
Automated Red phase for generating and verifying failing test cases
Iterative Green phase to implement the minimum necessary code for passing tests
Refactor phase with support for common patterns like method extraction
Comprehensive cycle reporting including coverage metrics and phase status

Casos de Uso

Automating the transition between unit test creation and code implementation
Implementing new software features using strict test-first development
Enforcing coding standards and high test coverage across a development team