What problem does it solve? Testing Unreal Engine gameplay flows through an AI agent often wastes tokens on viewport screenshots, blind retries, and full log reads, while flaky PIE sessions and race conditions produce unreliable results. This Skill provides token-efficient Standard Operating Procedures for running repeatable in-editor game tests. ## Core Features & Use Cases - Gameplay Flow SOPs: Step-by-step procedures for PvP matchmaking, singleplayer progression, and end-to-end combat simulation using PIE sessions, simulated input, and console commands. - Performance Benchmarking: Runs automation tests with configurable entity counts, then parses results via a Python script into a JSON bottleneck report covering game thread, render thread, and GPU timings. - Stability Guardrails: Enforces run isolation with the -Nomessaging flag, loading-screen race condition checks, and defensive null-safety patterns to prevent access violation crashes. - Use Case: Ask the agent to verify the PvP matchmaking flow; it starts a PIE session, triggers debug console commands like TauDebugGoToPvP and TauDebugStartRound, and confirms the round starts by reading the message log. ## Quick Start Test the PvP matchmaking flow in the open Unreal Editor session and verify the combat round starts successfully.
