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.