Apple Intelligence

---
name: apple-intelligence
description: Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features.
allowed-tools: [Read, Write, Edit, Glob, Grep, Bash, AskUserQuestion]
---

# Apple Intelligence Skills

Skills for implementing Apple Intelligence features including on-device LLMs, visual recognition, App Intents integration, and intelligent assistants.

## When This Skill Activates

Use this skill when the user:
- Wants to add AI/LLM features to their app
- Needs on-device text generation or understanding
- Asks about Foundation Models or Apple Intelligence
- Wants to implement structured AI output
- Needs prompt engineering guidance
- Wants camera-based visual intelligence features
- Needs Siri, Shortcuts, or Spotlight integration via App Intents
- Wants to expose app actions or content to the system

## Available Skills

### foundation-models/
On-device LLM integration with prompt engineering best practices.
- Model availability checking
- Session management
- @Generable structured output
- Tool calling patterns
- Snapshot streaming
- Prompt engineering techniques

### visual-intelligence/
Integrate with iOS Visual Intelligence for camera-based search.
- IntentValueQuery implementation
- SemanticContentDescriptor handling
- AppEntity for searchable content
- Display representations
- Deep linking from results

### app-intents/
App Intents for Siri, Shortcuts, Spotlight, and Apple Intelligence.
- AppIntent protocol, parameters, perform()
- AppEntity and entity queries
- App Shortcuts with voice phrases
- IndexedEntity and Spotlight indexing
- Intent modes (background, foreground)
- Interactive snippets with SnippetIntent
- Visual intelligence integration
- Onscreen entities for Siri/ChatGPT
- Multiple choice API
- Swift package support

## Key Principles

### 1. Privacy First
- All processing happens on-device
- No cloud connectivity required
- User data never leaves the device

### 2. Graceful Degradation
- Always check model availability
- Provide fallback UI for unsupported devices
- Handle errors gracefully

### 3. Efficient Prompting
- Keep prompts focused and specific
- Use structured output when possible
- Respect context window limits (4,096 tokens)

## Reference Documentation

- `/Users/ravishankar/Downloads/docs/FoundationModels-Using-on-device-LLM-in-your-app.md`
- `/Users/ravishankar/Downloads/docs/Implementing-Visual-Intelligence-in-iOS.md`
- `/Users/ravishankar/Downloads/docs/AppIntents-Updates.md`