Apple Intelligence logo

Apple Intelligence

Community
rshankras
apple-intelligence

Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features.

Overview

Publisherrshankras
Repositoryclaude-code-apple-skills
Skill nameapple-intelligence
Stars
744
Forks
70
Bundled files
6
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rshankras on GitHub. Read the source before you install it.

Installation

Install the Apple Intelligence AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rshankras/claude-code-apple-skills.git /tmp/claude-code-apple-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-apple-skills/skills/apple-intelligence .claude/skills/apple-intelligence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Apple Intelligence in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Apple Intelligence on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Apple Intelligence is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 (property-order + schema-injection rules)
  • Tool calling patterns
  • Snapshot streaming
  • Prompt engineering techniques
  • safety-and-guardrails.md — model limits, the instructions-over-prompts hierarchy, guardrail handling, the four-layer safety stack, evals
  • models-and-agents.md — Private Cloud Compute, LanguageModel protocol (third-party backends), vision input, DynamicProfile agents, tool-calling modes, KV-cache rules

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

  • On-device processing by default; Private Cloud Compute extends capacity without storing prompts (no account/API keys — WWDC26 241)
  • When routing to less-private backends, redact context first (see foundation-models/models-and-agents.md)

2. Graceful Degradation

  • Always check model availability
  • Provide fallback UI for unsupported devices
  • Handle errors gracefully (incl. guardrail violations — silent for proactive features, explained for user-initiated)

3. Efficient Prompting

  • Keep prompts focused and specific
  • Use structured output when possible
  • Respect context window limits — query model.contextSize, never hardcode (4,096 first-gen on-device; 8,192 iOS 27 on-device; 32,000 Private Cloud Compute)

Reference Documentation

  • Foundation Models
  • Visual Intelligence
  • App Intents
  • 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Apple Intelligence AI skill do?

Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features.

Why use Apple Intelligence on TypingMind?

Because you install it once and use it with any model. Apple Intelligence is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Apple Intelligence in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rshankras/claude-code-apple-skills/tree/main/skills/apple-intelligence. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Apple Intelligence?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Apple Intelligence?

As many as you like. As long as a model supports skills, you can use Apple Intelligence with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Apple Intelligence AI skill free?

Yes. It is published on GitHub by rshankras under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
obra logo

Using Git Worktrees

obra
CommunityPopular

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

25.8K
288.1K
Instructions
View
obra logo

Using Superpowers

obra
CommunityPopular

Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions

25.8K
288.1K
5 files
View
obra logo

Verification Before Completion

obra
CommunityPopular

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence…

25.8K
288.1K
Instructions
View
obra logo

Writing Plans

obra
CommunityPopular

Use when you have a spec or requirements for a multi-step task, before touching code

25.8K
288.1K
1 files
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇