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moai-workflow-testing

Unify testing, debugging, refactoring, profiling, and code review into one workflow.

Updated Feb 24, 2026
Search Tags:#testing#code review#debugging#refactoring#ddd#quality gates#performance profiling
One-click install
npx skills add https://github.com/Jongsix/remote-claudecode --skill moai-workflow-testing-jongsix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-workflow-testing
Source: https://github.com/Jongsix/remote-claudecode/tree/main/.claude/skills/moai-workflow-testing
Command: npx skills add https://github.com/Jongsix/remote-claudecode --skill moai-workflow-testing-jongsix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams improve code quality across the full development lifecycle by combining testing, debugging, refactoring, performance profiling, and code review into one workflow.

Core Features & Use Cases

  • DDD and characterization testing: Preserve existing behavior while refactoring legacy code or building new features from specifications.
  • AI-assisted debugging and optimization: Classify errors, find root causes, and identify performance bottlenecks with structured recommendations.
  • Automated code review and quality gates: Evaluate security, usability, truthfulness, relevance, and timeliness before merging or deploying.
  • Use case: A developer can analyze a failing service, generate regression-safe tests, review risky changes, and prioritize the fastest, safest fixes in one pass.

Quick Start

Ask the skill to analyze your project, identify the highest-risk code paths, and produce a test-and-review plan that preserves behavior while improving quality.

Frequently Asked Questions about moai-workflow-testing

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

FAQPage Schema
How do I add characterization tests to preserve behavior when refactoring legacy code?▼

Characterization tests preserve existing legacy behavior by capturing current outputs before refactoring. This workflow integrates DDD principles and regression-safe test generation to ensure new features or structural changes do not alter original functionality.

What is the best way to combine performance profiling and code review into a single workflow?▼

Combining performance profiling and code review into a single workflow evaluates security, usability, and truthfulness before deployment. This unified approach classifies errors, identifies bottlenecks, and gates pull request quality for safer merging.

Can I use this workflow for Python test generation and performance analysis?▼

Yes, the workflow supports Python test generation, analysis, and profiling tools. It requires Context7-driven guidance to produce actionable development workflows, analyzing failing services and prioritizing the safest fixes for your Python projects.

How do I set up quality gates to evaluate security and usability before merging code?▼

Automated quality gates evaluate security, usability, truthfulness, relevance, and timeliness before merging or deploying. This structured code review mechanism identifies risky changes and enforces software quality standards across your development lifecycle.

Why should I use TDD and DDD together when building new features from specifications?▼

Using TDD and DDD together preserves existing behavior while building new features from specifications. This approach unifies testing and refactoring, ensuring that regression-safe tests validate domain logic and prevent unintended side effects during development.

How do I identify the root cause of a failing service and generate a test plan?▼

AI-assisted debugging classifies errors and finds root causes by analyzing failing services. The workflow then produces a test-and-review plan that identifies high-risk code paths, generates regression-safe tests, and prioritizes the fastest fixes.

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