moai-foundation-core

Orchestrate AI development workflows with MoAI Foundation Core principles.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/tjdwls101010/seongjin_extension_youtube-summarize --skill moai-foundation-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-foundation-core
Source: https://github.com/tjdwls101010/seongjin_extension_youtube-summarize/tree/main/.claude/skills/moai-foundation-core
Command: npx skills add https://github.com/tjdwls101010/seongjin_extension_youtube-summarize --skill moai-foundation-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MoAI Foundation Core defines the core principles for reliable, scalable AI-driven development: TRUST 5, SPEC-First TDD, Delegation patterns, token optimization, progressive disclosure, and a modular architecture. It provides the governance and orchestration patterns that ensure quality, traceability, and efficient context management across AI workflows.

Core Features & Use Cases

  • TRUST 5 Framework: quality gates (Test-first, Readable, Unified, Secured, Trackable)
  • SPEC-First TDD: specification-driven development workflow
  • Delegation Patterns: agent-based task orchestration
  • Token Optimization: token budgeting and context management
  • Progressive Disclosure: three-tier knowledge delivery
  • Modular System: scalable file organization and cross-reference patterns
  • Works Well With: agents, other MoAI foundation modules, and workflows

Quick Start

Use the foundation core to set up a simple 2-phase workflow: plan SPEC, then implement with delegated agents, and finally sync docs, while employing /clear to save tokens.

Frequently Asked Questions about moai-foundation-core

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

FAQPage Schema
How do I orchestrate AI-powered development workflows with reliable automation patterns?

MoAI Foundation Core provides orchestration patterns through TRUST 5 quality gates, SPEC-First TDD, and delegation frameworks that ensure reliable, traceable AI workflows. Apply these principles to agent creation, skill development, and multi-agent coordination for secure, compliant automation.

What is the TRUST 5 framework and how does it improve AI development quality?

TRUST 5 establishes five quality gates—Test-first, Readable, Unified, Secured, Trackable—that govern AI workflow reliability. It provides governance checkpoints across development pipelines to ensure traceability and compliance at every stage.

How do I optimize token budgets and manage context in AI workflows?

Token optimization techniques in this foundation balance context management against budget constraints through progressive disclosure and modular architecture. Plan specs, delegate tasks to agents, sync documentation, and use token-clearing patterns to maximize efficiency.

Can I use spec-first TDD for AI agent and skill development?

SPEC-First TDD applies specification-driven development to agent creation and skill orchestration. Write specifications before implementation, then delegate execution to agents while maintaining quality gates and execution rules throughout the workflow.

What delegation patterns work for multi-agent AI coordination?

Delegation patterns enable agent-based task orchestration across complex workflows. Combine with modular system architecture and progressive disclosure to coordinate multiple agents while maintaining security, compliance, and efficient context use.

How does progressive disclosure scale documentation and knowledge delivery?

Progressive disclosure organizes knowledge in three tiers to match user context needs. Combined with modular system patterns, it reduces cognitive load and token overhead while maintaining accessible documentation across agent catalogs and command references.