App Store Deployment

Community

secondsky

app-store-deployment

Publishes mobile applications to iOS App Store and Google Play with code signing, versioning, and CI/CD automation. Use when preparing app releases, configuring signing certificates, or setting up automated deployment pipelines.

Overview

Publisher	secondsky
Repository	`claude-skills`
Skill name	`app-store-deployment`
Stars	219
Forks	31
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by secondsky on GitHub. Read the source before you install it.

Installation

Install the App Store Deployment 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.
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/secondsky/claude-skills/tree/main/plugins/app-store-deployment/skills/app-store-deployment

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/secondsky/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/app-store-deployment/skills/app-store-deployment .claude/skills/app-store-deployment

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

Use it in TypingMind

Enable App Store Deployment 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 App Store Deployment 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 App Store Deployment 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

Publish mobile applications to iOS App Store and Google Play with proper procedures.

iOS Deployment

Build and Archive

bash
# Build archive
xcodebuild -workspace App.xcworkspace \
  -scheme App \
  -sdk iphoneos \
  -configuration Release \
  -archivePath build/App.xcarchive \
  archive

# Export IPA
xcodebuild -exportArchive \
  -archivePath build/App.xcarchive \
  -exportOptionsPlist ExportOptions.plist \
  -exportPath build/

Upload to App Store Connect

bash
xcrun altool --upload-app \
  --type ios \
  --file build/App.ipa \
  --username "$APPLE_ID" \
  --password "$APP_SPECIFIC_PASSWORD"

Android Deployment

Build Release APK/Bundle

bash
# Generate keystore (once)
keytool -genkey -v -keystore release.keystore \
  -alias app -keyalg RSA -keysize 2048 -validity 10000

# Build release bundle
./gradlew bundleRelease

gradle.properties

properties
RELEASE_STORE_FILE=release.keystore
RELEASE_KEY_ALIAS=app
RELEASE_STORE_PASSWORD=****
RELEASE_KEY_PASSWORD=****

Version Management

json
{
  "version": "1.2.3",
  "ios": { "buildNumber": "45" },
  "android": { "versionCode": 45 }
}

Pre-Deployment Checklist

CI/CD (GitHub Actions)

yaml
on:
  push:
    tags: ['v*']

jobs:
  deploy-ios:
    runs-on: macos-latest
    steps:
      - uses: actions/checkout@v4

      - name: Set up environment
        run: |
          # Accept Xcode license if needed
          sudo xcodebuild -license accept || true

      - name: Build archive
        run: |
          xcodebuild -workspace App.xcworkspace \
            -scheme App \
            -sdk iphoneos \
            -configuration Release \
            -archivePath build/App.xcarchive \
            archive

      - name: Export IPA
        run: |
          xcodebuild -exportArchive \
            -archivePath build/App.xcarchive \
            -exportOptionsPlist ExportOptions.plist \
            -exportPath build/

      - name: Upload to App Store Connect
        env:
          APPLE_ID: ${{ secrets.APPLE_ID }}
          APP_SPECIFIC_PASSWORD: ${{ secrets.APP_SPECIFIC_PASSWORD }}
        run: |
          xcrun altool --upload-app \
            --type ios \
            --file build/App.ipa \
            --username "$APPLE_ID" \
            --password "$APP_SPECIFIC_PASSWORD"

  deploy-android:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: ./gradlew bundleRelease
      - uses: r0adkll/upload-google-play@v1

Best Practices

Automate deployment with CI/CD
Test on physical devices
Secure signing materials separately
Monitor crash reports post-launch

Frequently asked questions

What does the App Store Deployment AI skill do?

Why use App Store Deployment on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/secondsky/claude-skills/tree/main/plugins/app-store-deployment/skills/app-store-deployment. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use App Store Deployment?

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 App Store Deployment?

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

Is the App Store Deployment AI skill free?

Yes. It is published on GitHub by secondsky 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

App Store Deployment

iOS Deployment

Build and Archive

Upload to App Store Connect

Android Deployment

Build Release APK/Bundle

gradle.properties

Version Management

Pre-Deployment Checklist

CI/CD (GitHub Actions)

Best Practices

Frequently asked questions

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