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moai

Orchestrate a full software development lifecycle pipeline from planning to deployment.

Updated Mar 14, 2026
Search Tags:#tdd#ai development#ddd#spec generation#git integration#autonomous coding#code automation
One-click install
npx skills add https://github.com/jinwoonghong/MESAsim --skill moai-jinwoonghong
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai
Source: https://github.com/jinwoonghong/MESAsim/tree/main/.claude/skills/moai
Command: npx skills add https://github.com/jinwoonghong/MESAsim --skill moai-jinwoonghong

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the entire software development lifecycle, from initial planning and research to implementation, testing, and documentation, reducing manual effort and accelerating delivery.

Core Features & Use Cases

  • End-to-End Automation: Manages the full Plan-Run-Sync pipeline for features.
  • Intelligent Planning: Creates detailed SPEC documents using EARS format, informed by deep code analysis and user feedback.
  • Adaptive Implementation: Chooses between TDD and DDD methodologies based on project context and automatically handles fixes and refactoring.
  • Use Case: Describe a new feature like "Implement user authentication with OAuth2", and MoAI will research, plan, code, test, and document the entire feature autonomously.

Quick Start

Use the moai skill 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 full software development lifecycle from planning to deployment?▼

Autonomous AI development orchestrates the full lifecycle by managing a Plan-Run-Sync pipeline, automating feature implementation from initial planning and SPEC generation to TDD/DDD coding and deployment.

What is the best way to generate SPEC documents using EARS format for new features?▼

Generating SPEC documents using EARS format is handled through intelligent planning, which creates detailed specifications informed by deep code analysis and user feedback to ensure accurate feature implementation requirements.

Can I use autonomous coding to implement both TDD and DDD methodologies in my project?▼

Autonomous coding adaptively chooses between TDD and DDD methodologies based on project context, automatically handling code fixes and refactoring during feature implementation.

Does Git integration work with automated feature implementation and team-based execution?▼

Git integration works seamlessly with autonomous coding pipelines by supporting team-based execution and managing documentation synchronization, ensuring automated feature implementation aligns with your version control workflow.

When do I need code automation for feature implementation rather than manual coding?▼

Code automation for feature implementation is needed when you want to reduce manual effort and accelerate delivery across planning, research, coding, testing, and documentation synchronization for new features.

What are the limitations of autonomous AI development for complex software engineering tasks?▼

Autonomous AI development limitations stem from its reliance on deep code analysis and user feedback; adaptive implementation requires clear feature descriptions and sufficient project context to correctly choose between TDD and DDD methodologies.

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