What problem does it solve? AI-assisted development often lacks consistent quality gates, clear requirement specifications, and structured orchestration, leading to hallucinated code, token waste, and unreviewable output. This Skill provides the foundational principles of MoAI-ADK so every task follows a quality-first, specification-driven, agent-delegated 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 review. - SPEC-First DDD Workflow: Structures development into three phases (/moai:1-plan, /moai:2-run, /moai:3-sync) using EARS-format requirements and ANALYZE-PRESERVE-IMPROVE cycles. - Agent Delegation & Token Optimization: Routes all work through Task() delegation to 26 specialized agents across 7 tiers, with a 250K token budget split across phases and mandatory /clear between phases. - Use Case: When building a new feature, generate an EARS-format SPEC, clear context, delegate implementation to backend/frontend agents in parallel, then validate with TRUST 5 gates before merging. ## Quick Start Ask the AI to explain the TRUST 5 quality gates and how to structure a new feature using the SPEC-First DDD workflow.