moai

Orchestrate autonomous software development workflows by routing natural language requests to specialized agents.

67|27|Updated Dec 24, 2025
One-click install
npx skills add https://github.com/modu-ai/cc-plugins --skill moai-modu-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai
Source: https://github.com/modu-ai/cc-plugins/tree/main/.claude/skills/moai
Command: npx skills add https://github.com/modu-ai/cc-plugins --skill moai-modu-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill acts as a central orchestrator for complex development tasks, automating the entire software development lifecycle from planning to deployment and maintenance.

Core Features & Use Cases

  • End-to-End Automation: Manages planning, implementation, testing, documentation, and feedback loops.
  • Agent Delegation: Routes tasks to specialized AI agents for optimal execution.
  • Use Case: Describe a new feature in natural language, and MoAI will plan, code, test, document, and even create a pull request for it.

Quick Start

Use moai to implement the user authentication system.

Frequently Asked Questions about moai

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

FAQPage Schema
How do I automate the entire software development lifecycle from planning to deployment?

Autonomous development workflows automate the software lifecycle by routing natural language requests to specialized AI agents for planning, implementation, testing, and documentation. This orchestrates complex tasks from initial concept through deployment and iterative maintenance cycles.

Can I use natural language to implement new features and generate code with DDD and TDD methodologies?

Yes, natural language feature requests are routed to specialized agents that plan, code, test, and document implementations. The workflow ensures adherence to development methodologies like Domain-Driven Design and Test-Driven Development throughout the iterative development cycle.

What is the best way to orchestrate complex development tasks across multiple autonomous AI agents?

Orchestrating complex development tasks is best handled by a central coordinator that delegates work to specialized AI agents. This approach manages project initialization, error fixing, and iterative development cycles by routing specific implementation and documentation duties to targeted agents.

Does autonomous development workflow orchestration handle error fixing and project initialization?

Yes, autonomous development workflow orchestration handles both project initialization and error fixing. It manages complex tasks from initial concept to deployment, coordinating iterative development cycles and routing error resolution to specialized implementation agents.

How do I manage feedback loops and documentation generation in an automated software development workflow?

Automated software development workflows manage feedback loops and documentation by delegating these specific phases to specialized AI agents. The orchestrator routes natural language requests to ensure planning, implementation, testing, and documentation are executed and evaluated continuously.