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Eas App Stores

OrganizationPopular
expo
eas-app-stores

EAS service (paid). Build and submit iOS and Android apps with EAS to TestFlight, the App Store, or Google Play. Supports Expo and other React Native projects, plus existing native apps. Use for eas.json setup, release pipelines, signing, app versions and build numbers, store submissions, and listing metadata. For Expo websites and API routes, use eas-hosting; for adding React Native screens to a native app, use expo-brownfield.

Overview

Publisherexpo
Repositoryskills
Skill nameeas-app-stores
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 Eas App Stores 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/eas-app-stores .claude/skills/eas-app-stores
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Eas App Stores 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 Eas App Stores 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 Eas App Stores 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.

App Store Deployment

EAS service - costs apply. Cloud builds use EAS plan resources, and EAS services have free-tier and paid-plan limits. Apple Developer and Google Play memberships are separate. Check https://expo.dev/pricing for the requested service.

This skill covers building and releasing iOS and Android apps with EAS: Expo and other React Native projects, plus existing native apps. EAS is a delivery service; native apps can use it without adding Expo or React Native to their runtime. The native setup walkthrough currently covers SwiftUI/UIKit on iOS.

Choose the project path

  • SwiftUI/UIKit app with no React Native runtime: read references/native-ios.md before changing its build configuration. Keep the Xcode project and Swift code as the app's source of truth. The Expo/React Native quick-start and development-client examples below do not apply to this path.
  • Native Android app with no React Native runtime: preserve its existing native build setup. See references/play-store.md for submission; the Swift/iOS setup instructions do not apply. A dedicated native Android setup walkthrough is not yet included.
  • Expo/React Native app: use the quick-start below, then the relevant store reference.
  • Adding React Native screens to an existing native app: use expo-brownfield for that integration; return here for distribution.

Use the archive and icon checks in references/native-ios.md during initial native iOS setup, after changing versioning, bundle IDs, or icons, or when diagnosing a rejected upload. Routine releases follow the EAS build/submit flow and the processing and availability checks in references/testflight.md. A successful EAS build or a queued submission does not establish Apple acceptance, tester access, or an App Store release.

References

Consult these resources as needed:

  • ./references/workflows.md -- CI/CD workflows for automated store releases and PR previews
  • ./references/testflight.md -- Submitting iOS builds to TestFlight for beta testing
  • ./references/app-store-metadata.md -- Managing App Store metadata and ASO optimization
  • ./references/play-store.md -- Submitting Android builds to Google Play Store
  • ./references/ios-app-store.md -- iOS App Store submission and review process
  • ./references/native-ios.md -- Native Swift/SwiftUI/UIKit setup, versioning, and archive verification without an Expo runtime

Expo / React Native Quick Start

Install EAS CLI

bash
npm install -g eas-cli
eas login

Initialize EAS

bash
npx eas-cli@latest init

eas init links or creates the EAS project. Run eas build:configure to create build profiles in eas.json; preserve existing project and store identifiers when a release setup already exists.

Build Commands

Production Builds

bash
# iOS App Store build
npx eas-cli@latest build -p ios --profile production

# Android Play Store build
npx eas-cli@latest build -p android --profile production

# Both platforms
npx eas-cli@latest build --profile production

Submit to Stores

bash
# iOS: Build and submit to App Store Connect
npx eas-cli@latest build -p ios --profile production --auto-submit

# Android: Build and submit to Play Store
npx eas-cli@latest build -p android --profile production --auto-submit

# Expo / React Native shortcut for iOS TestFlight
npx testflight

Web & API Route Hosting

Deploying an Expo website or Expo Router API routes to EAS Hosting (npx expo export -p web then eas deploy) is covered by the eas-hosting skill. This skill focuses on native app store releases.

EAS Configuration

Example for an Expo / React Native project (native Swift profiles are in references/native-ios.md):

json
{
  "cli": {
    "version": ">= 16.0.1",
    "appVersionSource": "remote"
  },
  "build": {
    "production": {
      "autoIncrement": true,
      "ios": {
        "resourceClass": "m-medium"
      }
    },
    "development": {
      "developmentClient": true,
      "distribution": "internal"
    }
  },
  "submit": {
    "production": {
      "ios": {
        "appleId": "your@email.com",
        "ascAppId": "1234567890"
      },
      "android": {
        "serviceAccountKeyPath": "./google-service-account.json",
        "track": "internal"
      }
    }
  }
}

Platform-Specific Guides

iOS

  • For native Swift apps, use the explicit build/submit flow in references/native-ios.md
  • For Expo / React Native apps, npx testflight provides a quick TestFlight flow
  • Configure Apple credentials via eas credentials
  • See ./references/testflight.md for credential setup
  • See ./references/ios-app-store.md for App Store submission

Android

  • Set up Google Play Console service account
  • Configure tracks: internal → closed → open → production
  • See ./references/play-store.md for detailed setup

Automated Releases

EAS Workflows automate the build → submit → update pipeline for CI/CD. See ./references/workflows.md for store-release examples. To author or validate workflow YAML, use the eas-workflows skill - it works from the live workflow schema.

Version Management

EAS manages version numbers automatically with appVersionSource: "remote":

bash
# Check current versions
eas build:version:get

# Manually set version
eas build:version:set -p ios

The version-set command prompts for the value. When setting up or changing native iOS versioning, or diagnosing a duplicate build number, inspect the archived CFBundleVersion: the remote counter alone does not prove that Xcode used it.

Monitoring

bash
# List recent builds
eas build:list

# Check build status
eas build:view BUILD_ID

# Inspect submissions (verified with EAS CLI 23.2.0)
eas submit:list -p ios --json
eas submit:view SUBMISSION_ID --json

Check the CLI version before interpreting a missing command: these submission commands are available in 23.2.0 but not in the tested 18.6.0 installation. A pinned npx eas-cli@23.2.0 invocation can use them without changing the global installation. See references/testflight.md for live Apple status and retry guidance. Follow the returned log URLs when the JSON result omits the underlying failure. Report the exact build ID/version and the furthest verified release state.

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 "eas-app-stores" "<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 Eas App Stores AI skill do?

EAS service (paid). Build and submit iOS and Android apps with EAS to TestFlight, the App Store, or Google Play. Supports Expo and other React Native projects, plus existing native apps. Use for eas.json setup, release pipelines, signing, app versions and build numbers, store submissions, and listing metadata. For Expo websites and API routes, use eas-hosting; for adding React Native screens to a native app, use expo-brownfield.

Why use Eas App Stores on TypingMind?

Because you install it once and use it with any model. Eas App Stores 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 Eas App Stores in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/expo/skills/tree/main/plugins/expo/skills/eas-app-stores. 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 Eas App Stores?

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 Eas App Stores?

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

Is the Eas App Stores 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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