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Found 4 Skills
Use this skill when working with Apple's Foundation Models framework for on-device AI and LLM capabilities in iOS/macOS apps
Write, review, or integrate Apple's on-device FoundationModels framework (iOS 26.0+, macOS 26.0+). Use when building generative AI features, structured data extraction, tool calling, or streaming text generation natively on Apple Silicon devices.
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.
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).