What problem does it solve? Managing multiple local LLMs on CPU-only hardware risks out-of-memory crashes and concurrent inference conflicts. This Skill enforces the SwarmXQ platform's SINGLE-7B LOCK, canonical tag resolution, and RAM pressure gating so model orchestration code stays safe and consistent. ## Core Features & Use Cases - SINGLE-7B Lock Enforcement: Ensures only one 7B-class model is inference-active at any time by requiring evictIncompatible() before every 7B load. - Canonical Tag Resolution: Routes all legacy aliases (phi4-fast, deepseek-reasoner, qwen-worker) through resolveCanonicalTag() so deprecated tags never enter the model registry. - RAM Pressure Gating: Implements readPressure() and getRamSnapshot() with protected thresholds (RAM_CRITICAL_MB = 800) and graceful 8 GB degradation paths. - Use Case: When modifying model-orchestrator.ts or video-runtime-config.ts, use this Skill to verify that every acquireModel() call resolves canonical tags, evicts incompatible models first, and emits structured telemetry. ## Quick Start Ask the AI to review your changes to model-orchestrator.ts for SINGLE-7B lock violations and missing evictIncompatible() calls before any 7B model load.