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moai-workflow-testing

Manage development workflows with DDD testing, AI debugging, performance profiling, and TRUST 5 code review.

Updated Feb 26, 2026
Search Tags:#workflow#testing#code review#performance#debugging#ai#ddd
One-click install
npx skills add https://github.com/skeeper75/widget.creator --skill moai-workflow-testing-skeeper75
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-workflow-testing
Source: https://github.com/skeeper75/widget.creator/tree/main/.claude/skills/moai-workflow-testing
Command: npx skills add https://github.com/skeeper75/widget.creator --skill moai-workflow-testing-skeeper75

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, ruff, npm, 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 tests and debugging code to optimizing performance and ensuring quality through automated reviews.

Core Features & Use Cases

  • DDD Testing: Implement Domain-Driven Design testing methodologies, including characterization tests for legacy code and specification tests for new projects.
  • AI Debugging: Leverage AI for intelligent error analysis, root cause identification, and solution generation.
  • Performance Optimization: Profile code, detect bottlenecks, and receive AI-driven optimization suggestions.
  • Automated Code Review: Apply the TRUST 5 framework for comprehensive code quality analysis, including security, readability, and maintainability.
  • Use Case: A developer can use this Skill to automatically generate unit tests for a new feature, then use the AI debugger to fix any introduced bugs, followed by performance profiling to ensure efficiency, and finally, run an automated code review before submitting a pull request.

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 integrate AI debugging and automated code review into my development workflow?▼

You can integrate AI debugging and automated code review by using AI for root cause identification and applying the TRUST 5 framework to analyze security, readability, and maintainability across your development lifecycle.

What is Domain-Driven Design testing and when do I need characterization tests?▼

Domain-Driven Design testing aligns tests with business domains. You need characterization tests when working with legacy code to document current behavior, and specification tests for new projects.

How do I run a full TDD cycle with performance profiling for a new feature?▼

Run a full TDD cycle by generating domain tests, debugging errors with AI, profiling code to detect bottlenecks, and running a TRUST 5 automated code review to ensure quality and efficiency.

Does this workflow testing approach support Python and JavaScript testing frameworks?▼

Yes, this workflow supports Python and JavaScript testing frameworks. It integrates with pytest, ruff, uv, jest, vitest, and npm to execute TDD cycles and run characterization tests.

Can I use Context7 patterns for error analysis and root cause identification?▼

Yes, you can use Context7 patterns for error analysis. The AI debugging component leverages Context7 to intelligently analyze errors, identify root causes, and generate solutions.

What is the best way to optimize code performance and detect bottlenecks during development?▼

The best way to optimize performance is profiling code to detect bottlenecks and receiving AI-driven optimization suggestions, ensuring efficiency before submitting your pull request.

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