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apple-on-device-ai

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Build private, on-device AI features on iPhone, iPad, and Mac with Foundation Models, Core ML, MLX Swift, or llama.cpp. Use when choosing an Apple-local model runtime, building an Apple Intelligence chatbot or tool-calling feature, running an LLM on Apple Silicon, converting or compressing a Python model for Core ML, or comparing on-device inference backends. For Swift Core ML loading and prediction code, use the coreml skill.

When to use

• Choosing an Apple-local model runtime
• Building an Apple Intelligence chatbot
• Building a tool-calling feature
• Running an LLM on Apple Silicon
• Converting a Python model for Core ML
• Compressing a Python model for Core ML
• Comparing on-device inference backends
• Deploying custom trained models

When not to use

• Swift Core ML loading and prediction code
• Complex math
• Code generation
• Factual accuracy tasks
• Apps targeting pre-iOS 26 devices

Skill page

Source