moai-workflow-testing

Automate end-to-end development workflows with TDD, debugging, and code review.

1.2k|214|Updated Sep 16, 2025
One-click install
npx skills add https://github.com/modu-ai/moai-adk --skill moai-workflow-testing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-workflow-testing
Source: https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-workflow-testing
Command: npx skills add https://github.com/modu-ai/moai-adk --skill moai-workflow-testing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Comprehensive testing workflow integrating TDD, AI debugging, performance, and code reviews with TRUST 5 gates.

Core Features & Use Cases

  • TDD: RED-GREEN-REFACTOR with Context7 patterns
  • AI-powered debugging and optimizations
  • Performance profiling and bottleneck detection
  • Automated code review with TRUST 5
  • CI/CD integration and quality gates

Quick Start

Kick off a full testing workflow with TDD, debugging, and review steps.

Frequently Asked Questions about moai-workflow-testing

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

FAQPage Schema
How do I set up a test-driven development workflow with AI-powered debugging?

TDD workflows integrate RED-GREEN-REFACTOR cycles with AI debugging through Context7 patterns. This Skill automates the full cycle—write failing tests, implement fixes, and refactor—while AI identifies performance bottlenecks and optimization opportunities in real time across your test suite.

Can I use Playwright testing with automated code review and CI/CD integration?

Yes. Playwright test patterns integrate with TRUST 5 gates for automated code review, performance profiling, and CI/CD pipelines. The Skill orchestrates end-to-end workflows that run functional tests, detect issues, and enforce quality standards before deployment.

What does a unified testing workflow with TRUST 5 gates accomplish?

TRUST 5 gates enforce quality checkpoints across TDD cycles, AI debugging, performance analysis, and code review. This unified approach catches functional and technical issues early, surfaces bottlenecks through profiling, and gates deployments with automated review results.

How do I integrate static analysis tools and quality gates into my testing pipeline?

The Skill connects static analysis tools as quality gates within orchestrated workflows. Context7 MCP integration and Python-based implementations layer analysis results into CI/CD pipelines, blocking deployments that fail review criteria or performance thresholds.

Does this support multi-language enterprise projects?

Yes. The Skill handles enterprise-grade, multi-language software projects through Python-based implementations and Context7 MCP integration. It orchestrates testing, debugging, and review workflows across codebases in different languages within a single pipeline.

What are the limitations of automating code review with AI debugging in large teams?

Review automation depends on clear TRUST 5 gate definitions and performance profiling accuracy. Complex architectural decisions or domain-specific patterns may require manual oversight; the Skill flags high-risk changes for team review rather than auto-approving.