Build private AI features for your Apple apps.
Guides the selection, deployment, and optimization of private AI features for Apple apps.
When to use it
Use when selecting an Apple-local inference backend, implementing on-device generation or tool calling, or converting and compressing models for Core ML.
It changes how the agent selects inference frameworks and implements, validates, and optimizes on-device AI in an Apple app.
What you provide
Routes Swift Core ML app integration, prediction APIs, runtime configuration, Vision wiring, and detailed model loading to coreml; that handoff is not needed for framework selection or Python-side conversion.
This skill
coremltools
Installs coremltools for model conversion