git:20260220.455362a to git:20260704.2f8b3c4

4 added, 3 removed. Audit A to A.

---

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`

+ - [Foundation Models](https://developer.apple.com/documentation/foundationmodels)

+ - [Visual Intelligence](https://developer.apple.com/documentation/visualintelligence)

+ - [App Intents](https://developer.apple.com/documentation/appintents)

+ - Local captured docs (optional): if `~/Downloads/docs/` contains `FoundationModels-Using-on-device-LLM-in-your-app.md`, `Implementing-Visual-Intelligence-in-iOS.md`, or `AppIntents-Updates.md`, read them for extra detail; skip silently if absent.