Apple On Device Ai
dpearson2699/swift-ios-skillsDevelopers building AI features for iPhone, iPad, and Mac can run models directly on the device. This guide covers the main frameworks for on-device machine learning. You can use Apple Foundation Models for text generation and structured output. Or use Core ML for custom trained models like image classifiers. For running open-source LLMs, there is MLX Swift and llama.cpp.
All these frameworks work on Apple Silicon and can use the Neural Engine. The guide helps you pick the right tool for your task. It also explains how to convert, quantize, and optimize models for fast performance. This keeps user data private and reduces network use.
Add Apple On Device Ai skill to your workflow
Global
mkdir -p ~/.claude/skills/apple-on-device-aiProject
mkdir -p .claude/skills/apple-on-device-aiSource Repository
More AI & Agent Building Claude Code Skills
Find Skillsvercel-labs/skills
Find and install the perfect skill to extend your AI agent
Microsoft Foundrymicrosoft/azure-skills
Build, deploy, and improve AI agents on Microsoft Foundry from start to finish
Azure Aimicrosoft/azure-skills
Search, transcribe, and analyze with Azure AI tools for smarter apps
Azure Hosted Copilot Sdkmicrosoft/azure-skills
Build, deploy, and manage your Copilot SDK apps on Azure with ease
Skill Creatoranthropics/skills
Create, test, and improve AI agent skills with easy step-by-step guidance
Image Editagentspace-so/runcomfy-agent-skills
Smart router picks the best AI model for your image editing needs
Agentspaceagentspace-so/skills
See your AI agent's live folder from any browser instantly
Openclaw Secure Linux Cloudxixu-me/skills
Secure self-hosting of OpenClaw with private control and SSH tunneling