What TDD methodology does this skill follow?

It follows the standard Red-Green-Refactor pattern: write a failing test first, implement the minimal code required to pass, and then refactor for quality while maintaining passing status.

Can I use this for Python projects?

Absolutely. It provides standardized pytest patterns and templates designed for Python components and integration suites.

Does it support the Mojo programming language?

Yes, it includes specific patterns for Mojo’s testing module, supporting unit, integration, and specialized performance tests for critical SIMD paths.

What are the default test coverage requirements?

The skill targets a minimum of 80% coverage for new code and requires 100% coverage for critical paths, edge cases, and error handling.

Where are the test files generated?

Test files are organized within the project's /tests/ directory, further categorized into subdirectories for unit, integration, or performance tests.

TDD Test Orchestrator

Name: TDD Test Orchestrator
Author: mvillmow

bymvillmow

•

Security & Testing

Coordinates the test-driven development cycle by generating tests first and ensuring code implementation meets quality benchmarks.

About

The TDD Test Orchestrator skill empowers Claude to manage the full Test-Driven Development lifecycle, specifically optimized for Mojo and Python environments. It automates the generation of unit, integration, and performance tests before implementation code is written, adhering to the 'Red-Green-Refactor' methodology. By enforcing strict test coverage requirements and providing standardized templates for Mojo's testing module and Python's pytest framework, it ensures robust code quality and clear contract definitions during the testing phase of development.

Key Features

Enforcement of minimum 80% test coverage and critical path validation
Seamless integration with 5-phase development workflows and phase dependencies
Automated TDD workflow coordination using the Red-Green-Refactor cycle
Mojo-specific testing patterns including SIMD performance benchmarking
Python pytest template generation for components and test suites
12 GitHub stars

Use Cases

Implementing new features using a strict test-first methodology to prevent regressions
Automating the creation of integration tests for complex Python-based data processing pipelines
Building high-performance Mojo modules that require SIMD-aware performance testing

About

Key Features

Enforcement of minimum 80% test coverage and critical path validation
Seamless integration with 5-phase development workflows and phase dependencies
Automated TDD workflow coordination using the Red-Green-Refactor cycle
Mojo-specific testing patterns including SIMD performance benchmarking
Python pytest template generation for components and test suites
12 GitHub stars

Use Cases

Implementing new features using a strict test-first methodology to prevent regressions
Automating the creation of integration tests for complex Python-based data processing pipelines
Building high-performance Mojo modules that require SIMD-aware performance testing