What problem does it solve? Game projects stall when architectural decisions are made ad hoc, causing AI agents and developers to implement conflicting patterns. This Skill walks you through a structured, step-by-step discovery process to produce a complete architecture document covering engine selection, systems design, networking, and consistency rules. ## Core Features & Use Cases - Guided Decision Workflow: Sequential step files lead you through engine selection, rendering, physics, networking, save systems, and deployment decisions with a decision catalog and architecture pattern matching. - Engine-Specific Knowledge: Loads deep knowledge fragments for Godot, Unity, Unreal, Phaser, or Roblox only for the engine you choose, plus MCP server recommendations for AI-assisted development. - Validated Output Document: Generates an architecture document from a template with a decision summary table, project structure, implementation patterns, and a validation checklist to confirm AI-agent readiness. - Use Case: You are starting a 2D roguelike and need to decide between Godot and Unity, pick a save system, and define naming conventions so multiple AI agents implement consistently. Run the workflow to produce a complete, verified architecture document. ## Quick Start Ask the AI to design the game architecture for your project by saying "design architecture for my game" and follow the step-by-step workflow.
