moai-foundation-core

Name: moai-foundation-core
Availability: InStock
Author: yslee5005

Define MoAI foundation principles and patterns for scalable AI-driven development.

Updated Apr 5, 2026

Search Tags:#delegation #progressive-disclosure #trust-5 #modular-system #moai-foundation #spec-first-ddd

Ready to run

npx skills add https://github.com/yslee5005/app-library --skill moai-foundation-core-yslee5005

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moai-foundation-core
Source: https://github.com/yslee5005/app-library/tree/main/.claude/skills/moai-foundation-core
Command: npx skills add https://github.com/yslee5005/app-library --skill moai-foundation-core-yslee5005

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MoAI foundation core provides a structured set of guiding principles and patterns that power MoAI-ADK development, enabling scalable, modular AI-driven workflows.

Core Features & Use Cases

TRUST 5 quality gates for automated validation, security, and traceability.
SPEC-First DDD for specification-driven development and controlled evolution.
Delegation patterns for agent orchestration and task distribution.
Progressive disclosure and modular system for scalable content organization.
Agent catalog and cross-reference guidance to support skill creation.

Quick Start

Instantiate and follow TRUST 5, SPEC-First DDD, and delegation patterns to bootstrap a new MoAI skill with modular content.

Frequently Asked Questions about moai-foundation-core

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

FAQPage Schema

What are scalable AI-driven development patterns for modular agent orchestration?▼

Scalable AI-driven development patterns use delegation and progressive disclosure to orchestrate agents, distributing tasks across modular systems to maintain consistent quality and reuse. They provide structured principles for controlled evolution and specification-driven workflows.

How do I bootstrap a new modular AI skill using specification-driven development?▼

To bootstrap a new modular AI skill, instantiate the foundational patterns and apply SPEC-First DDD alongside TRUST 5 quality gates. This guides specification-driven development to ensure controlled evolution, automated validation, and traceability from the start.

When do I need quality gates for automated validation and traceability in AI workflows?▼

You need quality gates for automated validation and traceability when scaling AI workflows requires consistent governance and security. The TRUST 5 pattern provides these gates to enforce quality control across modular content and cross-referenced agent catalogs.

Does this foundation core require specific dependencies to apply delegation patterns?▼

No, this foundation core requires no external dependencies to apply delegation patterns. It provides standalone guiding principles and orchestration patterns that support task distribution and agent cataloging within modular system architectures.

What is the best way to organize scalable content for AI agent workflows?▼

The best way to organize scalable content is applying progressive disclosure within a modular system. This approach structures content delivery to prevent token overload, enabling scalable AI-driven workflows and efficient cross-referencing across agent modules.

Why use specification-driven domain-driven design for AI skill creation?▼

Specification-driven domain-driven design ensures controlled evolution and consistent quality during AI skill creation. It establishes strict specifications before implementation, supporting cross-referencing with modules and an agent catalog to enable systematic reuse.