moai-foundation-core

Define MoAI-ADK foundational principles including TRUST 5 and SPEC-First DDD.

Updated Nov 20, 2025
One-click install
npx skills add https://github.com/soo-kate-yeon/shadowoo --skill moai-foundation-core-soo-kate-yeon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-foundation-core
Source: https://github.com/soo-kate-yeon/shadowoo/tree/main/.agents/skills/moai-foundation-core
Command: npx skills add https://github.com/soo-kate-yeon/shadowoo --skill moai-foundation-core-soo-kate-yeon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides the foundational principles and architectural patterns for building robust, scalable, and high-quality AI agents and skills within the MoAI-ADK framework, ensuring consistency and efficiency in AI development workflows.

Core Features & Use Cases

  • TRUST 5 Framework: Enforces quality gates for tested, readable, unified, secured, and trackable code.
  • SPEC-First DDD: Guides development from specification to implementation using EARS format and ANALYZE-PRESERVE-IMPROVE cycles.
  • Delegation Patterns: Orchestrates tasks through specialized agents, promoting modularity and avoiding direct execution.
  • Token Optimization: Manages AI token budgets efficiently for cost-effective development.
  • Progressive Disclosure: Structures documentation for layered learning, from quick overviews to deep dives.
  • Modular System: Organizes files for scalability and maintainability.
  • Use Case: When creating a new AI agent, use this Skill to ensure it adheres to MoAI's core quality standards, follows the SPEC-First development process, 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
How do I enforce quality gates for AI agent development?

Quality gates for AI agent development are enforced through the TRUST 5 framework, ensuring code remains tested, readable, unified, secured, and trackable. This provides architectural standards for building robust and scalable agents.

What is the SPEC-First DDD methodology for AI workflows?

SPEC-First DDD methodology guides AI development from specification to implementation using the EARS format and ANALYZE-PRESERVE-IMPROVE cycles. It structures workflows to ensure high-quality, domain-driven AI agent outputs.

How do I orchestrate tasks through specialized AI agents?

You orchestrate tasks through specialized AI agents using delegation patterns, promoting modularity by distributing responsibilities rather than executing directly. This manages token budgets efficiently while maintaining structural scalability.

Can I manage AI token budgets efficiently during agent orchestration?

Yes, you can manage AI token budgets efficiently during agent orchestration using the framework's built-in token optimization patterns. This ensures cost-effective development while delegating tasks across specialized modular agents.

How do I structure AI documentation for layered learning?

You structure AI documentation for layered learning using progressive disclosure, organizing files from quick overviews to deep dives. This modular system ensures scalability and maintainability for complex AI agent architectures.