What problem does it solve? Unreal Engine projects suffer from unexpected asset residency, memory growth, blurry textures, and load or shader compilation hitches that are hard to attribute to a single system. This Skill provides a structured diagnostic workflow that classifies the failure, captures the right profiling evidence, and applies one bounded fix verified in a cooked target build. ## Core Features & Use Cases - Failure classification and evidence routing: Distinguish dependency residency, retained allocation, streaming budget, IO latency, render-resource readiness, and PSO compilation problems, then route each to Reference Viewer, Memory Insights, LLM, Asset Loading Insights, or PSO validation. - Streaming system tuning: Diagnose texture streaming pools, Streaming Virtual Texturing physical pools, Nanite streaming, and World Partition readiness with per-system stats instead of one combined pool. - Hitch and regression workflows: Diagnose load hitches from package order through PSO compile, validate PSO precaching on cold driver caches, and record cold/warm A/B regression metrics. - Use Case: A teleport arrives into a half-loaded world with blurry textures. Use this Skill to gate readiness on cell state, collision, texture quality, and PSO compilation, then prove the fix with a cooked-build cold traversal. ## Quick Start Use the unreal-memory-streaming skill to diagnose why textures stay blurry and memory keeps growing after repeated level traversal in my Unreal Engine 5.8 project.
