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Found 2 Skills
Use when integrating Foundation Models framework, implementing on-device AI with Apple Intelligence, building tool-calling AI features, working with guided generation schemas, converting models with Core ML and coremltools, or running open-source LLMs on Apple Silicon. Covers Foundation Models (LanguageModelSession, @Generable, @Guide, SystemLanguageModel, structured output, tool calling), Core ML (coremltools, model conversion, quantization, palettization, pruning, Neural Engine, MLTensor), MLX Swift (transformer inference, unified memory), and llama.cpp (GGUF, cross-platform LLM).
Scaffold modern iOS apps and features with Clean Architecture, MVVM, SwiftUI, GRDB, Swift Concurrency, optional Apple Foundation Models integration, and modular local packages. Use when creating a new iOS app, adding a feature/service/model/migration/design system component/package, or enforcing Domain/Data/Presentation separation with feature-local ownership by default and shared modules only for true cross-domain concerns.