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moai-foundation-core

Consolidate MoAI-ADK principles into modular workflows with TRUST5 gates.

Updated Jan 16, 2026
Search Tags:#delegation#governance#token-optimization#spec-first#trust-5#modular-system
One-click install
npx skills add https://github.com/yarang/fastapi-error-code --skill moai-foundation-core-yarang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-foundation-core
Source: https://github.com/yarang/fastapi-error-code/tree/main/.claude/skills/moai-foundation-core
Command: npx skills add https://github.com/yarang/fastapi-error-code --skill moai-foundation-core-yarang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MoAI Foundation Core consolidates MoAI-ADK's core principles into a modular, scalable framework for building AI-powered development workflows.

Core Features & Use Cases

  • TRUST 5 quality gates (Test-first, Readable, Unified, Secured, Trackable) for safe code.
  • SPEC-First DDD workflow to define requirements before coding.
  • Delegation patterns for multi-agent orchestration.
  • Token optimization for efficient context management.
  • Progressive disclosure and modular system for scalable documentation.
  • A comprehensive module catalog including commands, agents, and execution rules.

Use cases include building AI-driven workflows, designing modular components, and enforcing quality gates across large projects.

Quick Start

Instruct MoAI to load the moai-foundation-core skill and reference the modules for TRUST 5, SPEC-first, and delegation patterns.

Frequently Asked Questions about moai-foundation-core

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

FAQPage Schema
What is a spec-first DDD workflow for AI development?▼

Token optimization manages context windows by budgeting prompt inputs across multi-agent workflows. This framework provides tooling to allocate token usage efficiently, reducing overhead during complex AI orchestration.

How do I enforce quality gates in AI-generated code?▼

You enforce quality gates using the TRUST5 principles: Test-first, Readable, Unified, Secured, and Trackable. This framework integrates these checks into AI-driven workflows to ensure safe code generation.

How do I set up multi-agent delegation for scalable AI workflows?▼

Multi-agent delegation is configured using orchestration patterns that distribute tasks across specialized AI agents. This framework supplies a catalog of delegation modules and execution rules to guide scalable development.

Can I use this framework for large project documentation?▼

Yes, this framework supports large project documentation through progressive disclosure and a modular system. It organizes components into a navigable cross-reference catalog, enabling scalable knowledge management.

What are the limitations of using modular AI governance frameworks?▼

Modular AI governance frameworks require strict adherence to execution rules and token budgets, which may constrain highly dynamic or unstructured prompts. They are best suited for structured, spec-first development rather than ad-hoc generation.

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