Capacitor App Store logo

Capacitor App Store

Organization
Cap-go
capacitor-app-store

Complete guide to publishing Capacitor apps to Apple App Store and Google Play Store. Covers app preparation, screenshots, metadata, review guidelines, and submission process. Use this skill when users are ready to publish their app.

Overview

PublisherCap-go
Repositorycapgo-skills
Skill namecapacitor-app-store
Stars
71
Forks
4
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by Cap-go on GitHub. Read the source before you install it.

Installation

Install the Capacitor App Store 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/Cap-go/capgo-skills.git /tmp/capgo-skills
mkdir -p .claude/skills
cp -r /tmp/capgo-skills/plugins/capacitor-deployment/skills/capacitor-app-store .claude/skills/capacitor-app-store
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Capacitor App Store 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 Capacitor App Store 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 Capacitor App Store 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.

Publishing to App Stores

Guide to submitting Capacitor apps to Apple App Store and Google Play Store.

When to Use This Skill

  • User is ready to publish app
  • User asks about app store submission
  • User needs app store screenshots
  • User has app rejection issues
  • User needs to update app listing

Pre-Submission Checklist

Universal Requirements

  • App icon in all required sizes
  • Splash screen configured
  • App name and bundle ID set
  • Version and build numbers set
  • Privacy policy URL
  • Terms of service URL
  • Support email/URL
  • Age rating content questionnaire
  • App description (short and long)
  • Keywords/tags
  • Screenshots for all device sizes
  • Feature graphic (Android)
  • App preview video (optional)

iOS-Specific

  • Apple Developer Program membership ($99/year)
  • App Store Connect app created
  • Signing certificates and profiles
  • Info.plist usage descriptions
  • App Tracking Transparency (if applicable)
  • Sign in with Apple (if social login used)
  • Export compliance (encryption)

Android-Specific

  • Google Play Developer account ($25 one-time)
  • App signed with release keystore
  • Target SDK level (API 34+)
  • 64-bit support
  • Permissions declared in manifest
  • Data safety form completed
  • Content rating questionnaire

App Store Configuration

Version and Build Numbers

typescript
// capacitor.config.ts - Not stored here, just for reference

// iOS: Info.plist
// CFBundleShortVersionString = "1.2.3" (user-visible)
// CFBundleVersion = "45" (build number, increment each upload)

// Android: build.gradle
// versionName = "1.2.3" (user-visible)
// versionCode = 45 (must increment each upload)

iOS Info.plist

xml
<!-- ios/App/App/Info.plist -->
<key>CFBundleDisplayName</key>
<string>My App</string>

<key>CFBundleShortVersionString</key>
<string>1.0.0</string>

<key>CFBundleVersion</key>
<string>1</string>

<!-- Privacy descriptions - REQUIRED for permissions -->
<key>NSCameraUsageDescription</key>
<string>Take photos for your profile</string>

<key>NSPhotoLibraryUsageDescription</key>
<string>Select photos from your library</string>

<key>NSLocationWhenInUseUsageDescription</key>
<string>Find nearby locations</string>

<key>NSFaceIDUsageDescription</key>
<string>Secure login with Face ID</string>

<key>NSMicrophoneUsageDescription</key>
<string>Record voice messages</string>

<!-- App Tracking Transparency -->
<key>NSUserTrackingUsageDescription</key>
<string>Allow tracking for personalized ads</string>

<!-- Export compliance -->
<key>ITSAppUsesNonExemptEncryption</key>
<false/>

Android build.gradle

groovy
// android/app/build.gradle
android {
    defaultConfig {
        applicationId "com.yourcompany.yourapp"
        minSdkVersion 22
        targetSdkVersion 34
        versionCode 1
        versionName "1.0.0"

        // 64-bit support
        ndk {
            abiFilters 'armeabi-v7a', 'arm64-v8a', 'x86', 'x86_64'
        }
    }

    buildTypes {
        release {
            minifyEnabled true
            shrinkResources true
            proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
        }
    }

    bundle {
        language {
            enableSplit = true
        }
        density {
            enableSplit = true
        }
        abi {
            enableSplit = true
        }
    }
}

App Icons

iOS App Icons

Required sizes (place in Assets.xcassets):

SizeScaleUsage
20pt2x, 3xNotification
29pt2x, 3xSettings
40pt2x, 3xSpotlight
60pt2x, 3xApp Icon
76pt1x, 2xiPad
83.5pt2xiPad Pro
1024pt1xApp Store

Android App Icons

Required sizes (place in res/mipmap-*):

DensitySizeFolder
mdpi48x48mipmap-mdpi
hdpi72x72mipmap-hdpi
xhdpi96x96mipmap-xhdpi
xxhdpi144x144mipmap-xxhdpi
xxxhdpi192x192mipmap-xxxhdpi

Also needed:

  • Adaptive icon (foreground + background layers)
  • Play Store icon: 512x512

Generate Icons

bash
# Use capacitor-assets
npm install -D @capacitor/assets
npx capacitor-assets generate --iconBackgroundColor '#ffffff'

Screenshots

iOS Screenshot Sizes

DeviceSizeRequired
iPhone 6.7"1290x2796Yes
iPhone 6.5"1284x2778Yes
iPhone 5.5"1242x2208Yes
iPad Pro 12.9"2048x2732If supporting iPad
iPad Pro 11"1668x2388If supporting iPad

Android Screenshot Sizes

TypeSizeRequired
Phone1080x1920 to 1080x2400Yes (2-8)
7" Tablet1200x1920If supporting
10" Tablet1600x2560If supporting

Feature Graphic (Android)

  • Size: 1024x500
  • Required for Play Store listing

Generating Screenshots

typescript
// Use Playwright for automated screenshots
import { test } from '@playwright/test';

const devices = [
  { name: 'iPhone 14 Pro Max', viewport: { width: 430, height: 932 } },
  { name: 'iPhone 14', viewport: { width: 390, height: 844 } },
  { name: 'Pixel 7', viewport: { width: 412, height: 915 } },
];

test('generate screenshots', async ({ page }) => {
  for (const device of devices) {
    await page.setViewportSize(device.viewport);

    // Screenshot 1: Home
    await page.goto('/');
    await page.screenshot({
      path: `screenshots/${device.name}-home.png`,
      fullPage: false,
    });

    // Screenshot 2: Feature
    await page.goto('/feature');
    await page.screenshot({
      path: `screenshots/${device.name}-feature.png`,
    });
  }
});

App Store Connect Submission

1. Create App

  1. Go to https://appstoreconnect.apple.com
  2. My Apps > + > New App
  3. Fill in:
    • Platform: iOS
    • Name: Your App Name
    • Primary Language
    • Bundle ID
    • SKU (unique identifier)

2. App Information

  • Category (primary and secondary)
  • Content Rights
  • Age Rating (complete questionnaire)

3. Pricing and Availability

  • Price (Free or paid tier)
  • Availability (countries)

4. App Privacy

  • Privacy Policy URL (required)
  • Data collection types:
    • Contact Info
    • Health & Fitness
    • Financial Info
    • Location
    • Identifiers
    • Usage Data
    • etc.

5. Version Information

  • Screenshots (all sizes)
  • Promotional Text (170 chars)
  • Description (4000 chars)
  • Keywords (100 chars, comma-separated)
  • Support URL
  • Marketing URL (optional)
  • What's New (for updates)

6. Build Upload

bash
# Using Xcode
# Product > Archive > Distribute App > App Store Connect

# Using Fastlane
fastlane ios release

# Using xcrun
xcrun altool --upload-app --type ios --file App.ipa \
  --apiKey KEY_ID --apiIssuer ISSUER_ID

7. Submit for Review

  • Answer export compliance questions
  • Add notes for reviewer (if needed)
  • Submit

Google Play Console Submission

1. Create App

  1. Go to https://play.google.com/console
  2. All apps > Create app
  3. Fill in:
    • App name
    • Default language
    • App or game
    • Free or paid

2. Store Listing

  • Short description (80 chars)
  • Full description (4000 chars)
  • Screenshots (2-8 per device type)
  • Feature graphic (1024x500)
  • App icon (512x512)
  • Video URL (optional, YouTube)

3. Content Rating

Complete the questionnaire for IARC rating

4. Target Audience

  • Target age group
  • Ads declaration

5. Data Safety

  • Data collection
  • Data sharing
  • Security practices
  • Data deletion request handling

6. App Content

  • Ads (yes/no)
  • App category
  • Contact details
  • Privacy policy

7. Release

bash
# Build AAB (required for new apps)
cd android && ./gradlew bundleRelease

# Upload via Play Console or API
# Production > Create new release > Upload AAB

Release Tracks

TrackPurpose
Internal testingUp to 100 testers, instant
Closed testingInvite-only, review
Open testingPublic beta
ProductionFull release

Common Rejection Reasons

iOS Rejections

ReasonSolution
CrashesTest on real devices, fix bugs
Broken linksVerify all URLs work
Incomplete metadataFill all required fields
Missing privacy infoComplete App Privacy section
Login issuesProvide demo account
Guideline 4.2 (Minimum Functionality)Add meaningful features
Guideline 5.1.1 (Data Collection)Justify data usage

Android Rejections

ReasonSolution
Crashes/ANRsFix stability issues
Policy violationReview Play policies
Deceptive behaviorBe transparent about features
Sensitive permissionsJustify in-app
Target SDK too lowUpdate to API 34+

Updates and Versioning

Version Incrementing

bash
# Increment patch (1.0.0 -> 1.0.1)
npm version patch

# Increment minor (1.0.0 -> 1.1.0)
npm version minor

# Increment major (1.0.0 -> 2.0.0)
npm version major

Phased Rollout

iOS:

  • Enable phased release in App Store Connect
  • 7-day gradual rollout (1%, 2%, 5%, 10%, 20%, 50%, 100%)

Android:

  • Set rollout percentage in release
  • Monitor crash rate before increasing

Resources

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 Capacitor App Store AI skill do?

Complete guide to publishing Capacitor apps to Apple App Store and Google Play Store. Covers app preparation, screenshots, metadata, review guidelines, and submission process. Use this skill when users are ready to publish their app.

Why use Capacitor App Store on TypingMind?

Because you install it once and use it with any model. Capacitor App Store 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 Capacitor App Store in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Cap-go/capgo-skills/tree/main/plugins/capacitor-deployment/skills/capacitor-app-store. 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 Capacitor App Store?

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 Capacitor App Store?

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

Is the Capacitor App Store AI skill free?

It is published on GitHub by Cap-go. Check the repository for licensing terms. 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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