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Expo Module

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expo
expo-module

Framework (OSS). Guide for creating and writing Expo native modules and views using the Expo Modules API (Swift, Kotlin, TypeScript). Covers module definition DSL, native views, shared objects, config plugins, lifecycle hooks, autolinking, and type system. Use when building or modifying native modules for Expo. Not for migrating an existing Swift module from the definition DSL to the Expo Modules API 2.0 macros; use expo-migrate-module (from the expo-experiments plugin) for that.

Overview

Publisherexpo
Repositoryskills
Skill nameexpo-module
Stars
2.5K
Forks
146
Bundled files
7
LicenseMIT
Links
  • 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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the Expo Module 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/expo/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/expo/skills/expo-module .claude/skills/expo-module
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Expo Module 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 Expo Module 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 Expo Module 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.

Writing Expo Modules

Complete reference for building native modules and views using the Expo Modules API. Covers Swift (iOS), Kotlin (Android), and TypeScript.

When to Use

  • Creating a new Expo native module or native view
  • Adding native functionality (camera, sensors, system APIs) to an Expo app
  • Wrapping platform SDKs for React Native consumption
  • Building config plugins that modify native project files
  • Adding Android, Apple, or web support to an existing Expo module
  • Editing expo-module.config.json, config plugins, or lifecycle hooks

To migrate an existing Swift module from the definition DSL to the Expo Modules API 2.0 macros (@ExpoModule, @JS, @Event), use the expo-migrate-module skill (from the expo-experiments plugin) instead.

References

Consult these resources as needed:

references/
  create-expo-module.md      Scaffolding and add-platform-support workflow, defaults, and quirks
  native-module.md           Module definition DSL: Name, Function, AsyncFunction, Property, Constant, Events, type system, shared objects
  native-view.md             Native view components: View, Prop, EventDispatcher, view lifecycle, ref-based functions
  lifecycle.md               Lifecycle hooks: module, iOS app/AppDelegate, Android activity/application listeners
  config-plugin.md           Config plugins: modifying Info.plist, AndroidManifest.xml, reading values in native code
  module-config.md           expo-module.config.json fields, file placement, and autolinking behavior

Quick Start

Prefer create-expo-module over manually creating native module files and directories. In practice, the best path is usually to create the scaffold first and then build on top of it. The scaffold sets up the expected layout, expo-module.config.json, podspec or Gradle files, TypeScript bindings, and the standalone example app flow.

If an existing Expo module only needs another platform, use create-expo-module add-platform-support instead of manually copying native directories.

See references/create-expo-module.md before scaffolding or extending a module. It covers:

  • local vs standalone modules
  • --platform, --features, --barrel, --package-manager, and non-interactive mode
  • expo.autolinking.nativeModulesDir
  • add-platform-support behavior and quirks

Recommended Workflow

  1. Choose the scaffold type first:
    • Local module for one app
    • Standalone module for reuse, monorepos, or publishing
  2. Determine native expo-module features that you will need.
    • Based on the user's instructions determine which feature scaffolding will be useful.
    • Available features: Constant, Function, AsyncFunction, Event, View, ViewEvent, SharedObject
  3. Scaffold deliberately:
    • pass an explicit slug or path
    • choose --platform intentionally instead of relying on defaults
    • use --features to choose code samples which you will modify in the next step to match the real implementation.
  4. Replace generated example code with the real implementation.
  5. If you add a new platform later, prefer add-platform-support over manual file copying.

Practical Scaffolding Rules

  • Feature examples are opt-in. A newly scaffolded module may be minimal if no features were selected.
  • ViewEvent implies View.
  • Local modules do not generate an index.ts barrel by default. Use --barrel only if you want one.
  • In non-interactive local scaffolding, pass the positional slug or path explicitly. --name changes the native class name, not the folder name.
  • Local modules live in expo.autolinking.nativeModulesDir when configured, otherwise in modules/.
  • Standalone modules have their own package metadata, scripts, and usually an example app. Local modules use the host app's tooling instead.

Core File Shapes

The Swift and Kotlin DSL share the same structure. Swift is usually the clearest primary example; consult the references for feature-specific details.

Module Structure Reference

The Swift and Kotlin DSL share the same structure. Both platforms are shown here for reference — in other reference files, Swift is shown as the primary language unless the Kotlin pattern meaningfully differs.

Swift (iOS):

swift
import ExpoModulesCore

public class MyModule: Module {
  public func definition() -> ModuleDefinition {
    Name("MyModule")

    Function("hello") { (name: String) -> String in
      return "Hello \(name)!"
    }
  }
}

Kotlin (Android):

kotlin
package expo.modules.mymodule

import expo.modules.kotlin.modules.Module
import expo.modules.kotlin.modules.ModuleDefinition

class MyModule : Module() {
  override fun definition() = ModuleDefinition {
    Name("MyModule")

    Function("hello") { name: String ->
      "Hello $name!"
    }
  }
}

TypeScript:

typescript
import { requireNativeModule } from "expo";

const MyModule = requireNativeModule("MyModule");

export function hello(name: string): string {
  return MyModule.hello(name);
}

expo-module.config.json

json
{
  "platforms": ["android", "apple"],
  "apple": {
    "modules": ["MyModule"]
  },
  "android": {
    "modules": ["expo.modules.mymodule.MyModule"]
  }
}

Note: iOS uses just the class name; Android uses the fully-qualified class name (package + class). See references/module-config.md for all fields.

Submitting Feedback

If you encounter errors, misleading or outdated information in this skill, report it so Expo can improve:

bash
npx --yes submit-expo-feedback@latest --category skills --subject "expo-module" "<actionable feedback>"

Only submit when you have something specific and actionable to report. Include as much relevant context as possible. If an AI agent repeatedly failed or the user had to take over an Expo task, load the expo-skill-feedback skill and follow its eval-candidate flow instead of reusing the command above.

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 Expo Module AI skill do?

Framework (OSS). Guide for creating and writing Expo native modules and views using the Expo Modules API (Swift, Kotlin, TypeScript). Covers module definition DSL, native views, shared objects, config plugins, lifecycle hooks, autolinking, and type system. Use when building or modifying native modules for Expo. Not for migrating an existing Swift module from the definition DSL to the Expo Modules API 2.0 macros; use expo-migrate-module (from the expo-experiments plugin) for that.

Why use Expo Module on TypingMind?

Because you install it once and use it with any model. Expo Module 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 Expo Module in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/expo/skills/tree/main/plugins/expo/skills/expo-module. 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 Expo Module?

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 Expo Module?

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

Is the Expo Module AI skill free?

Yes. It is published on GitHub by expo 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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