What problem does it solve? Game projects stall when architectural decisions are made ad hoc, causing AI agents and developers to produce inconsistent implementations. This Skill guides a structured, step-by-step discovery process that produces a complete architecture document covering engine selection, systems design, networking, and technical patterns. ## Core Features & Use Cases - Decision Catalog and Pattern Matching: Maps game requirements (multiplayer, physics, RPG systems, open world, VR) to concrete architectural decisions and opinionated technology stacks. - Engine-Specific Knowledge: Loads deep knowledge fragments for Godot, Unity, Unreal, Phaser, and Roblox, plus MCP server recommendations for AI-assisted development in each engine. - Validated Output Document: Produces an architecture document with a decision summary table, project structure, implementation patterns, and a validation checklist ensuring AI-agent readiness. - Use Case: A developer planning a co-op platformer uses this Skill to decide between Godot and Unity, select a networking model, define save persistence, and generate an architecture document that keeps all AI coding agents consistent. ## Quick Start Ask the AI to design the game architecture for your project by describing your game concept and target platforms.