Skill UI

This skill guides users on deploying OpenMed models completely on-device for maximum privacy and edge computing. It details running workflows using three backends: MLX (Apple Silicon), CoreML (iOS/macOS), and ONNX/WebGPU (cross-platform/browser). The process involves converting, optionally quantizing, and running models locally, ensuring PHI never leaves the host device.

Build and manage OCI/Linux containers on Apple Silicon macOS using Apple's open-source container CLI without Docker daemon. Each container runs in its own lightweight VM backed by Containerization framework and Virtualization API. Supports standard OCI artifacts, Docker-like workflows with build/run/exec/logs commands. Requires macOS 26 (Tahoe) officially, works on macOS 15 with limited networking.

Configure a Mac mini as a reliable local LLM server with remote access, observability, and power-safe operation. Use when building an always-on private AI inference server on Apple Silicon.