moai-foundation-core

You orchestrate multi-agent AI workflows without direct execution by applying delegation patterns. This approach coordinates agents through modular architecture, enabling scalable content organization and multi-agent orchestration across complex modules.

The TRUST 5 framework is an automated quality gate system for AI development ensuring test-first, readability, unified, secured, and trackable standards. It provides structured quality validation across modular AI-driven development workflows.

You manage token budgets in complex AI workflows by using phase-based token budgeting and progressive disclosure. This technique manages context and token limits through structured content architecture and modular-system file organization.

You structure scalable AI skills using SPEC-First TDD by loading core principles and modules. This workflow supports phase-based token budgeting and validates quality gates through frontmatter, modules, and cross-references.

Yes, you can use progressive disclosure for modular system file organization. It provides a structured content architecture that manages context and token budgets while enabling consistent skill organization across complex workflows.

No, you do not need dependencies to architect large MoAI-powered projects. You can compose modules and cross-reference patterns directly using the foundation core, organizing complex workflows without external component requirements.