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moai-workflow-testing

Manage the software development lifecycle with DDD testing, debugging, and code review.

Updated Dec 14, 2025
Search Tags:#workflow#testing#code review#performance#debugging#ai#ddd
One-click install
npx skills add https://github.com/seo-jinseok/regulation_manager --skill moai-workflow-testing-seo-jinseok
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-workflow-testing
Source: https://github.com/seo-jinseok/regulation_manager/tree/main/.claude/skills/moai-workflow-testing
Command: npx skills add https://github.com/seo-jinseok/regulation_manager --skill moai-workflow-testing-seo-jinseok

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, ruff, npm, npx, node, jest, vitest, go, cargo, mix, uv, bundle, php, phpunit, grep, glob, mcp__context7__resolve-library-id, mcp__context7__get-library-docs, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the entire software development lifecycle, from writing robust tests and debugging complex issues to optimizing performance and ensuring code quality through automated reviews. It tackles the challenges of maintaining high standards across diverse projects and complex codebases.

Core Features & Use Cases

  • Unified Development Workflow: Integrates DDD testing, AI debugging, performance optimization, and code review into cohesive processes.
  • AI-Powered Debugging: Intelligently classifies errors, suggests fixes, and learns from past resolutions.
  • DDD Testing: Automates characterization tests for legacy code and specification tests for new projects, ensuring behavior preservation.
  • Performance Optimization: Profiles code, detects bottlenecks, and provides AI-driven optimization recommendations.
  • Automated Code Review: Applies the TRUST 5 framework for comprehensive quality analysis, including security and maintainability.
  • Use Case: A developer facing a critical bug in a legacy system can use the AI debugging component to quickly identify the root cause, then leverage DDD testing to ensure their fix doesn't break existing functionality, followed by performance profiling to guarantee the optimized code runs efficiently.

Quick Start

Use the moai-workflow-testing skill to run a full DDD cycle for the 'user_authentication' feature.

Frequently Asked Questions about moai-workflow-testing

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

FAQPage Schema
How do I run characterization tests for legacy code without breaking existing functionality?▼

Characterization tests for legacy code are automated by capturing and locking in current system behavior to ensure existing functionality is preserved during modifications. This approach supports DDD principles by defining explicit specifications for undocumented workflows before applying fixes.

What is the best way to automate code reviews for security and maintainability?▼

Automated code reviews are executed using the TRUST 5 framework to provide comprehensive quality analysis, specifically targeting security and maintainability metrics. This process systematically evaluates code changes against established best practices to ensure high standards across projects.

Can I use this workflow testing skill with Python, Go, and PHP projects?▼

Yes, the workflow testing skill supports Python, Go, and PHP projects through its integrated dependencies including pytest, go, cargo, mix, php, and phpunit. It also accommodates JavaScript environments utilizing npm, jest, and vitest for comprehensive lifecycle management.

How does AI-driven error analysis classify and fix bugs in complex codebases?▼

AI-driven error analysis classifies bugs by intelligently evaluating error patterns and suggesting targeted fixes while learning from past resolutions. This mechanism helps developers quickly identify root causes in complex codebases without relying solely on manual debugging.

Why should I use performance profiling during the software development lifecycle?▼

Performance profiling is used during the software development lifecycle to detect code bottlenecks and provide AI-driven optimization recommendations. This ensures that newly implemented features or refactored legacy code run efficiently before deployment to production environments.

Does Context7 MCP integration provide up-to-date testing patterns for DDD?▼

Context7 MCP integration provides up-to-date testing patterns and best practices by resolving library IDs and fetching current library documentation directly. This ensures that DDD testing and code review processes adhere to the most recent framework specifications and industry standards.

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