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moai-workflow-testing

Automate end-to-end AI-assisted development workflows across the software lifecycle.

Updated Jan 23, 2026
Search Tags:#workflow#CI/CD#Playwright#DDD#Context7#quality gates#ai-debugging
One-click install
npx skills add https://github.com/hnabyz-bot/gate_drv --skill moai-workflow-testing-hnabyz-bot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-workflow-testing
Source: https://github.com/hnabyz-bot/gate_drv/tree/main/.claude/skills/moai-workflow-testing
Command: npx skills add https://github.com/hnabyz-bot/gate_drv --skill moai-workflow-testing-hnabyz-bot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automates end-to-end AI-assisted development workflows across the software lifecycle.

Core Features & Use Cases

  • End-to-end workflow orchestration for modern software development, integrating DDD, AI debugging, performance optimization, and TRUST 5 code review.
  • AI-assisted testing and pattern application using Context7 to improve test quality and deployment confidence.
  • Automates setup, execution, and validation of CI/CD gates with quality metrics and actionable recommendations.

Quick Start

Use the moai-workflow-testing skill to automate a full development cycle starting from code checkout through automated reviews and performance profiling.

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 CI/CD quality gates for AI-assisted development workflows?▼

Automating CI/CD quality gates for AI-assisted development workflows involves orchestrating setup, execution, and validation across large codebases. This Skill integrates DDD, AI debugging, and TRUST 5 scoring to provide actionable recommendations and improve deployment confidence.

What is the TRUST 5 scoring mechanism in automated code reviews?▼

The TRUST 5 scoring mechanism in automated code reviews evaluates code quality and functional requirements during end-to-end AI-assisted development workflows. It integrates with CI/CD pipelines to generate quality metrics and actionable recommendations for large codebases.

How do I apply Context7 patterns for AI-assisted testing?▼

Applying Context7 patterns for AI-assisted testing requires loading specific design patterns to improve test quality. This Skill automates pattern loading during the testing stage to increase deployment confidence and validate functional requirements.

Can I orchestrate AI debugging and performance profiling within a DDD workflow?▼

Orchestrating AI debugging and performance profiling within a DDD workflow is supported across the software lifecycle. This Skill coordinates debug, refactor, profile, and test stages to automate end-to-end development cycles from checkout to review.

What are the limitations of automating end-to-end AI development workflows?▼

Limitations of automating end-to-end AI development workflows depend on your team's adoption of DDD and CI/CD integration. The orchestration is designed for large codebases and may require sufficient functional requirements mapping to effectively apply TRUST 5 scoring and Context7 patterns.

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