What problem does it solve? AI-driven development often lacks consistent quality gates, clear requirement specifications, and structured agent orchestration, leading to untracked changes, token waste, and unvalidated code. This Skill provides the foundational principles of MoAI-ADK so every change follows a specification-first, quality-gated, delegation-based workflow. ## Core Features & Use Cases - TRUST 5 Quality Framework: Enforces five quality gates (Tested, Readable, Unified, Secured, Trackable) with automated checks like pytest coverage, ruff, black, and OWASP security analysis. - SPEC-First DDD Workflow: Guides the three-phase process (/moai:1-plan, /moai:2-run, /moai:3-sync) using EARS-format requirements and ANALYZE-PRESERVE-IMPROVE implementation cycles. - Agent Delegation & Token Optimization: Provides sequential, parallel, and conditional delegation patterns across a 26-agent, 7-tier catalog, plus 200K token budget strategies with /clear rules and progressive disclosure content architecture. - Use Case: When building a new feature, generate an EARS SPEC, clear context to save 45-50K tokens, delegate implementation to specialized agents, and validate the result against all five TRUST 5 gates before merging. ## Quick Start Ask the AI to explain the TRUST 5 quality gates and how to apply the SPEC-First DDD workflow to plan a new feature.
