moai

Automate the software development lifecycle with a Plan-Run-Sync pipeline.

Updated Nov 28, 2024
One-click install
npx skills add https://github.com/desafin/Resource-Monitor-pyQT --skill moai-desafin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai
Source: https://github.com/desafin/Resource-Monitor-pyQT/tree/main/.claude/skills/moai
Command: npx skills add https://github.com/desafin/Resource-Monitor-pyQT --skill moai-desafin

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 coding to testing and documentation, enabling rapid and high-quality feature delivery.

Core Features & Use Cases

  • Full Lifecycle Automation: Handles research, planning (SPEC generation), implementation (TDD/DDD), quality assurance, and documentation sync.
  • Intelligent Routing: Directs tasks to specialized agents or teams based on complexity and context.
  • Use Case: You need to build a new user authentication system. Simply tell MoAI "Build a user authentication system with JWT and OAuth support," and it will autonomously research, plan, code, test, and document the entire feature.

Quick Start

Use the moai skill to plan and implement a new 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 documentation?

To automate the software development lifecycle, this Skill uses a Plan-Run-Sync pipeline to manage parallel exploration, SPEC generation, TDD/DDD implementation, and documentation synchronization autonomously.

What is autonomous coding and how does it handle TDD and DDD implementation?

Autonomous coding directs tasks to specialized agents that generate SPEC documents and implement code using TDD and DDD methodologies. It includes optional iterative fixing to ensure quality assurance before synchronizing documentation.

How do I generate SPEC documents and implement features using an AI development orchestrator?

You generate SPEC documents and implement features by providing a high-level prompt to the orchestrator. It autonomously researches, plans the architecture, creates the SPEC, codes the feature, and tests it end-to-end.

Does autonomous code generation support session continuity for complex team-based execution?

Yes, autonomous code generation supports team-based execution and utilizes context memory. This enables seamless session continuity, allowing parallel exploration and iterative fixing to resume without losing prior context.

What are the limitations of using an autonomous orchestrator for spec generation and TDD?

While it automates spec generation and TDD, limitations include its reliance on intelligent routing for complex contexts. Users must provide clear prompts, as ambiguous instructions may disrupt the Plan-Run-Sync pipeline's output quality.