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Foundation Models On Device

affaan-m/ecc

Apple's FoundationModels framework lets you run LLMs directly on iOS 26+ devices without hitting the cloud. You get text generation, structured output via the @Generable macro (way better than parsing strings), custom tool calling, and snapshot streaming for real-time UI updates. The 4,096 token limit is tight and you can only run one request per session at a time, but the privacy and offline story is solid. Check model.availability before doing anything since not all devices support Apple Intelligence. Best for apps that need AI features without sending user data off device or requiring internet connectivity.

skills.sh installs
5.4K
GitHub stars
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last updated
Aug 21, 2026
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Install

$ npx -y skills add affaan-m/ecc --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/ecc
Categories
Testing & QA, AI & Agent Building, Mobile Development
First seen
Jul 14, 2026

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