apple-silicon
CommunityApple Silicon optimization for ML, VM.
Authorryanmaclean
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Solves slow ML inference and virtualization on Apple Silicon by optimizing workloads.
Core Features & Use Cases
- Metal GPU acceleration for ML inference and graphics workloads on M-series Macs.
- MLX-based on-device inference and streaming with unified memory awareness.
- CoreML model conversion, quantization, and performance-tuning workflows.
- Apple Virtualization Framework for native VM performance on macOS.
- M-series zstd compression and memory tuning for efficient packaging.
Quick Start
Install the Apple Silicon optimization toolkit on macOS, verify Metal availability, and run a sample MLX workflow to validate performance improvements.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: apple-silicon Download link: https://github.com/ryanmaclean/vibecode-webgui/archive/main.zip#apple-silicon Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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