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.