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moai-foundation-core

Enforce TRUST 5 quality gates and SPEC-First DDD workflows for AI development.

Updated Feb 19, 2026
Search Tags:#ai development#agent orchestration#token optimization#modular architecture#quality framework#ddd methodology
One-click install
npx skills add https://github.com/taewook486/real-estate-mcp --skill moai-foundation-core-taewook486
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-foundation-core
Source: https://github.com/taewook486/real-estate-mcp/tree/main/.claude/skills/moai-foundation-core
Command: npx skills add https://github.com/taewook486/real-estate-mcp --skill moai-foundation-core-taewook486

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides the foundational principles and architectural patterns for developing AI-powered applications efficiently and reliably, ensuring quality, security, and scalability.

Core Features & Use Cases

  • TRUST 5 Framework: Enforces automated quality gates (Tested, Readable, Unified, Secured, Trackable).
  • SPEC-First DDD: Guides development from specification to implementation using EARS format and ANALYZE-PRESERVE-IMPROVE cycles.
  • Agent Delegation: Orchestrates tasks through specialized agents, avoiding direct execution.
  • Token Optimization: Manages AI token budgets effectively for cost and performance.
  • Progressive Disclosure: Structures content for layered learning, from quick reference to deep dives.
  • Modular System: Organizes skills into a scalable, navigable file structure.
  • Use Case: When creating a new AI agent or skill, ensure it adheres to TRUST 5 standards, follows the SPEC-First DDD workflow, and delegates tasks appropriately.

Quick Start

Use the moai-foundation-core skill to understand the TRUST 5 quality framework.

Frequently Asked Questions about moai-foundation-core

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

FAQPage Schema
What is the TRUST 5 framework for AI development quality?▼

The TRUST 5 framework enforces automated quality gates for AI development by ensuring code is Tested, Readable, Unified, Secured, and Trackable. It provides structured workflows to maintain security and scalability across AI-driven applications.

How do I manage AI token budgets for agent orchestration?▼

You manage AI token budgets using token optimization patterns within agent delegation workflows. This approach orchestrates tasks through specialized agents and structures content via progressive disclosure to control costs and maximize performance.

How to guide AI development from specification to implementation using DDD?▼

To guide AI development from specification to implementation, apply the SPEC-First DDD methodology using EARS format and ANALYZE-PRESERVE-IMPROVE cycles. This ensures structured progression from specification design to final implementation.

Does this AI agent orchestration approach require direct code execution?▼

No, this AI agent orchestration approach avoids direct execution by delegating tasks to specialized agents. It enforces quality through structured workflows and a modular file system rather than running monolithic scripts.

What is the best way to structure content for layered learning in AI skills?▼

The best way to structure content for layered learning is progressive disclosure, organizing information from quick reference summaries to deep dives. This manages token budgets effectively while maintaining a navigable modular file system.

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