moai

Name: moai
Availability: InStock
Author: skeeper75

Automate the software development lifecycle with modular agent-based architecture.

Updated Feb 26, 2026

Search Tags:#automation #testing #documentation #code generation #ai development #orchestration #spec

Ready to run

npx skills add https://github.com/skeeper75/widget.creator --skill moai-skeeper75

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moai
Source: https://github.com/skeeper75/widget.creator/tree/main/.claude/skills/moai
Command: npx skills add https://github.com/skeeper75/widget.creator --skill moai-skeeper75

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 planning and implementation to testing and documentation, reducing manual effort and accelerating development.

Core Features & Use Cases

Full Development Pipeline: Orchestrates research, planning (SPEC generation), implementation (DDD/TDD), quality assurance, and documentation sync.
Intelligent Routing: Dynamically selects between team-based and sub-agent execution based on task complexity.
Use Case: A developer can provide a high-level feature request, and MoAI will autonomously handle the entire process of designing, coding, testing, and documenting the feature, delivering a production-ready solution.

Quick Start

Use the moai skill to autonomously 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 software development lifecycle from planning to documentation?▼

You can automate the software development lifecycle by orchestrating research, SPEC generation, DDD/TDD implementation, quality assurance, and documentation synchronization through a modular agent-based architecture that dynamically routes tasks.

What is the best way to generate SPEC documents for autonomous feature planning?▼

Generating SPEC documents for feature planning is handled by an autonomous orchestrator that initializes projects, defines feature requirements, and manages DDD/TDD implementation cycles to deliver production-ready code.

Can I use parallel execution for AI code generation and testing?▼

Parallel execution for AI code generation is supported through team-based execution, dynamically selecting between sub-agents and parallel teams based on task complexity to accelerate implementation and testing.

How does context-aware resume work for interrupted development cycles?▼

Context-aware resume enables seamless development continuity by preserving the state of your DDD/TDD implementation cycles, allowing the autonomous orchestrator to resume interrupted software development tasks without losing progress.

Does autonomous code generation work with DDD and TDD methodologies?▼

Autonomous code generation explicitly supports DDD and TDD methodologies by integrating domain-driven design and test-driven development cycles into its core pipeline, ensuring quality gates and documentation sync are maintained throughout implementation.

What are the limitations of using an autonomous orchestrator for end-to-end development?▼

Limitations of autonomous end-to-end development include dependency on the accuracy of initial SPEC documents for feature planning, and the need for dynamic intelligent routing to balance complexity between sub-agent and team-based execution.