moai

Orchestrate specialized AI agents through a plan-run-sync development pipeline.

Updated Dec 14, 2025
One-click install
npx skills add https://github.com/seo-jinseok/regulation_manager --skill moai-seo-jinseok
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai
Source: https://github.com/seo-jinseok/regulation_manager/tree/main/.claude/skills/moai
Command: npx skills add https://github.com/seo-jinseok/regulation_manager --skill moai-seo-jinseok

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the entire software development lifecycle, from initial planning and coding to testing and documentation, by orchestrating specialized AI agents. It automates complex tasks, reduces manual effort, and accelerates development cycles.

Core Features & Use Cases

  • End-to-End Automation: Manages the full development pipeline: research, planning (SPEC generation), implementation (DDD/TDD), quality assurance, and documentation sync.
  • Intelligent Agent Orchestration: Routes tasks to specialized agents (e.g., manager-spec, expert-testing, team-backend-dev) based on workflow phase and task complexity.
  • Use Case: A developer can initiate a complex feature request with a single natural language prompt, and MoAI will autonomously handle the research, planning, coding, testing, and documentation, delivering a ready-to-review pull request.

Quick Start

Use MoAI to autonomously implement the user authentication system for your project.

Frequently Asked Questions about moai

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

FAQPage Schema
How do I automate the software development lifecycle using AI agents?

Automating the software development lifecycle involves orchestrating specialized AI agents through a plan-run-sync pipeline to handle research, specification, implementation, testing, and documentation automatically.

What is AI agent orchestration for TDD and DDD implementation?

AI agent orchestration for TDD and DDD routes development tasks to specialized agents that manage research, planning, coding, and quality validation, enforcing test-driven and domain-driven design methodologies throughout the workflow.

Can I generate software specifications and code from a single natural language prompt?

Yes, you can generate software specifications and code from a single prompt by initiating an autonomous pipeline that researches requirements, creates SPEC documents, implements features, and delivers a ready-to-review pull request.

How does automated quality validation work during AI code generation?

Automated quality validation during AI code generation works by routing completed implementations to specialized testing agents that validate quality, run iterative fixes, and synchronize documentation before final delivery.

Does this autonomous development orchestrator support parallel team-based execution?

Yes, the autonomous development orchestrator supports team-based parallel execution, allowing specialized agents to concurrently handle distinct backend, frontend, and testing tasks within a complex feature workflow.

When should I use an autonomous AI orchestrator instead of manual coding?

You should use an autonomous AI orchestrator instead of manual coding when you need to streamline complex feature development from planning to documentation, significantly reducing manual effort and accelerating delivery cycles.