moai-workflow-testing

Orchestrate TDD, AI debugging, code reviews, and CI/CD quality gates.

Updated Jan 16, 2026
One-click install
npx skills add https://github.com/yarang/fastapi-error-code --skill moai-workflow-testing-yarang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-workflow-testing
Source: https://github.com/yarang/fastapi-error-code/tree/main/.claude/skills/moai-workflow-testing
Command: npx skills add https://github.com/yarang/fastapi-error-code --skill moai-workflow-testing-yarang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The moai-workflow-testing skill unifies complex development workflows by integrating TDD, AI debugging, performance profiling, automated code reviews, PR reviews, and CI/CD quality gates into a single orchestrated process.

Core Features & Use Cases

  • AI-powered debugging and error analysis with Context7 pattern loading to accelerate root-cause identification.
  • TDD cycle management, automated code review (TRUST 5), performance profiling, and workflow orchestration across multi-tool ecosystems.
  • Use Case: A large Python FastAPI or Playwright project can auto-generate tests from specs, apply Context7 patterns, run cross-browser tests, and publish a quality gate-ready report.
  • Use Case: Teams can streamline PR reviews by combining automated TRUST 5 scoring with targeted remediation suggestions and rollback-safe refactoring plans.

Quick Start

Run the enterprise testing workflow for your project: install the package, configure Context7 MCP, and execute moai-workflow with your repository path to start end-to-end testing and reporting.

Frequently Asked Questions about moai-workflow-testing

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

FAQPage Schema
How do I automate PR reviews and CI/CD quality gates for enterprise projects?

Automated PR reviews and CI/CD quality gates are orchestrated by applying TRUST 5 based assessments and Context7 integration to generate scoring, remediation suggestions, and rollback-safe refactoring plans for enterprise projects.

How does AI debugging work with Context7 patterns to identify root causes?

AI debugging works by loading Context7 patterns to analyze errors and accelerate root-cause identification across your development workflow, streamlining the debugging process for complex enterprise applications.

Can I use automated testing workflows for Python FastAPI or Playwright projects?

Yes, automated testing workflows support Python FastAPI and Playwright projects by auto-generating tests from specs, applying Context7 patterns, running cross-browser tests, and publishing quality gate-ready reports.

What is the best way to manage TDD cycles and performance profiling together?

The best way to manage TDD cycles and performance profiling is unifying them into a single orchestrated process alongside automated code reviews, using TRUST 5 scoring to streamline multi-tool ecosystem workflows.

Do I need to configure Context7 MCP before running the enterprise testing workflow?

Yes, you need to configure Context7 MCP before running the enterprise testing workflow. Install the package, configure the MCP, and execute the workflow with your repository path to initiate end-to-end testing.