Add Foundation Models

Community

khadinakbarlabs

add-foundation-models

Use Apple Foundation Models (on-device LLM, iOS 26+) via expo-apple-intelligence config plugin. Use when the user says 'Foundation Models', 'Apple Intelligence', 'on-device LLM', 'free AI'.

Overview

Publisher	khadinakbarlabs
Repository	`expo-mobile-app-builder`
Skill name	`add-foundation-models`
Stars	3
Forks	0
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by khadinakbarlabs on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/add-foundation-models
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/add-foundation-models

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/khadinakbarlabs/expo-mobile-app-builder.git /tmp/expo-mobile-app-builder
mkdir -p .claude/skills
cp -r /tmp/expo-mobile-app-builder/skills/add-foundation-models .claude/skills/add-foundation-models

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Foundation Models 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 Add Foundation Models 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 Add Foundation Models 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.

Add Foundation Models

On-device LLM via Apple Foundation Models. Free, private, offline, zero MB to app size. iOS 26+ on Apple Intelligence-eligible devices only.

Install

bash
npm exec --no -- expo install expo-apple-intelligence
npm exec --no -- expo prebuild --clean

Availability gate (do this first)

tsx
import * as AppleIntelligence from 'expo-apple-intelligence';

const isAvailable = AppleIntelligence.isAvailable();
if (!isAvailable) {
  // fall back to hosted LLM (OpenAI, Anthropic) with 5.1.2(i) consent modal
}

In 2026, ~70% of installed iPhones are NOT on Apple Intelligence-capable hardware. Always plan a fallback.

Basic generation

tsx
const session = AppleIntelligence.createSession({
  instructions: 'You are a fast weeknight cooking assistant.',
});

const response = await session.respond({
  prompt: 'Suggest one recipe for: leftover chicken',
  options: { temperature: 0.6 },
});

console.log(response.content);

Structured output (typed result)

tsx
const recipe = await session.respond({
  prompt: 'Suggest one recipe',
  schema: {
    name: 'string',
    ingredients: ['string'],
    stepsMinutes: 'number',
  },
});

Why default to Foundation Models

No 5.1.2(i) consent modal needed — only third-party AI requires explicit naming + consent
Zero per-token cost
No network round-trip (offline-capable)
Apple loves featuring apps that use it

Reference

references/06-store-readiness.md — 5.1.2(i) AI disclosure exemption for on-device.

Bundled files

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

agents/openai.yaml1 KB
references/06-store-readiness.md1 KB

Frequently asked questions

What does the Add Foundation Models AI skill do?

Use Apple Foundation Models (on-device LLM, iOS 26+) via expo-apple-intelligence config plugin. Use when the user says 'Foundation Models', 'Apple Intelligence', 'on-device LLM', 'free AI'.

Why use Add Foundation Models on TypingMind?

Because you install it once and use it with any model. Add Foundation Models 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 Add Foundation Models in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/add-foundation-models. 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 Add Foundation Models?

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 Add Foundation Models?

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

Is the Add Foundation Models AI skill free?

Yes. It is published on GitHub by khadinakbarlabs 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Add Foundation Models

Install

Availability gate (do this first)

Basic generation

Structured output (typed result)

Why default to Foundation Models

Reference

Bundled files

Frequently asked questions

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