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Foundation Models On Device

affaan-m/everything-claude-code

This wraps Apple's FoundationModels framework for building on-device LLM features in iOS 26+. You get text generation, structured output with the @Generable macro, custom tool calling, and snapshot streaming for real-time UI updates. Everything runs locally, so no cloud dependency and no data leaves the device. The patterns cover availability checks (critical since not all devices support Apple Intelligence), session management with instruction-based steering, and streaming partial results to SwiftUI views. The 4,096 token context limit is tight, so you'll need to chunk larger inputs. Good fit if you're building privacy-first AI features or need offline text generation without reaching for third-party SDKs.

skills.sh installs
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last updated
Jul 14, 2026
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Install

$ npx -y skills add affaan-m/everything-claude-code --skill foundation-models-on-device --agent claude-code

Installs into .claude/skills of the current project.

Files

FoundationModels: On-Device LLM (iOS 26)

Patterns for integrating Apple's on-device language model into apps using the FoundationModels framework. Covers text generation, structured output with @Generable, custom tool calling, and snapshot streaming — all running on-device for privacy and offline support.

When to Activate

  • Building AI-powered features using Apple Intelligence on-device
  • Generating or summarizing text without cloud dependency
  • Extracting structured data from natural language input
  • Implementing custom tool calling for domain-specific AI actions
  • Streaming structured responses for real-time UI updates
  • Need privacy-preserving AI (no data leaves the device)

Core Pattern — Availability Check

Always check model availability before creating a session:

struct GenerativeView: View {
    private var model = SystemLanguageModel.default
SKILL.md on GitHub

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Details

Repository
github.com/affaan-m/everything-claude-code

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