Automates the software development lifecycle with planning, implementation, and synchronization phases.
npx skills add https://github.com/taewook486/real-estate-mcp --skill moai
Please help me install this Agent Skill. Skill: moai Source: https://github.com/taewook486/real-estate-mcp/tree/main/.claude/skills/moai Command: npx skills add https://github.com/taewook486/real-estate-mcp --skill moai
This Skill automates the entire software development lifecycle, from planning and implementation to quality assurance and documentation, reducing manual effort and accelerating development cycles.
Use moai to implement the user authentication system for your project.
High-intent search queries and answers about installing and using this skill.
You can automate the end-to-end software development lifecycle by using a multi-agent system that orchestrates planning, implementation, and synchronization phases. It generates specs, implements code via DDD or TDD, and creates ready-to-review Git pull requests.
Yes, agentic workflows can support both Domain-Driven Design and Test-Driven Development. The system integrates these methodologies into its implementation phase, applying architectural constraints and test validation through automated quality gates.
Spec-driven development in AI code generation involves creating explicit specification documents during a planning phase before implementation. The multi-agent system researches and generates these specs to guide the subsequent coding and testing phases automatically.
Autonomous AI development integrates directly with Git for version control and PR creation. After implementing features and passing quality gates, the system automatically synchronizes documentation and generates pull requests for review.
An AI orchestrator handles complex software engineering tasks through intelligent routing, automatically selecting between team-based and sub-agent execution based on task complexity. This ensures appropriate resource allocation across the development pipeline.
Automating the software lifecycle with AI agents requires human review of generated pull requests. While the system handles planning, implementation, and documentation autonomously, developers must validate the final code quality and architectural decisions before merging.
chaimtInitialize a Git repository with an initial commit in the current directory.
taloncjonesAutomate code review, testing, version bump, merge, and post-merge cleanup for pull requests.
danieldev24Automates CI/CD pipeline setup and quality gates for code verification.
JBonfimRequire fresh verification runs with cited command output before completion claims.
