apple-on-device-ai
bydpearson2699· 58 skills
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.
How to install apple-on-device-ai?
dpearson2699/swift-ios-skills/apple-on-device-ai
$npx -y skills add dpearson2699/swift-ios-skills --skill apple-on-device-aiInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/dpearson2699/swift-ios-skills" --skill "dpearson2699/swift-ios-skills/apple-on-device-ai"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/dpearson2699/swift-ios-skills" that are relevant to the current task. Run `npx skills add "https://github.com/dpearson2699/swift-ios-skills"` and select the relevant skills, then follow their instructions.
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