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Ios Development

Community
AnastasiyaW
ios-development

Comprehensive iOS app development skill. Use this skill for ANY iOS-related task: writing Swift/SwiftUI/UIKit code, architecting apps, debugging crashes, setting up navigation, networking, data persistence, animations, performance optimization, App Store submission, Xcode configuration. Trigger when user mentions: iOS, Swift, SwiftUI, UIKit, Xcode, iPhone/iPad app, Combine, CoreData, SwiftData, MVVM, TCA, URLSession, async/await, @State/@Binding/@ObservableObject, NavigationStack, XCTest, TestFlight, provisioning profiles, or any Apple platform development. Always use this skill before writing iOS code or architecture. Do NOT use for web frontends (HTML/CSS/JS, React/Vue, browser UI) — even a WebView's page content is web work; use frontend-design for that. This skill is native Apple-platform code only.

Overview

PublisherAnastasiyaW
Repositorycodex-claude-code-config
Skill nameios-development
Stars
212
Forks
32
Bundled files
8
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.

  • 8 bundled files

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

  • Open source

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

Installation

Install the Ios Development 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.
    https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/ios/ios-development
  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/AnastasiyaW/codex-claude-code-config.git /tmp/codex-claude-code-config
mkdir -p .claude/skills
cp -r /tmp/codex-claude-code-config/skills/ios/ios-development .claude/skills/ios-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ios Development 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 Ios Development 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 Ios Development 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.

iOS Development Skill

Quick orientation

Before anything else, identify:

  1. UI framework → SwiftUI / UIKit / mixed?
  2. Architecture → MVVM / TCA / VIPER / Clean / MVC?
  3. iOS target → iOS 16 / 17 / 18? (affects API availability)
  4. Task type → new feature / debug / refactor / architecture / performance / release?
  5. Graphics intensity → стандартный UI / средняя 3D / тяжёлая графика / Metal?

Если задача связана с Metal, GPU, рендерингом, шейдерами, TBDR, MetalFX, GPU profiling, frame pacing, PSO, heaps, ICB, MTLIO → читать references/metal-graphics.md первым.

Then read the relevant reference file before writing code.


Reference files — read when needed

TopicFileWhen to read
SwiftUI pipelinereferences/swiftui.mdSwiftUI views, state, bindings, modifiers, animations
UIKit pipelinereferences/uikit.mdUIViewController, Auto Layout, delegates, storyboards
Architecturereferences/architecture.mdMVVM, TCA, VIPER, Clean, Coordinator
Networkingreferences/networking.mdURLSession, async/await, REST/GraphQL, auth
Data persistencereferences/data.mdCoreData, SwiftData, UserDefaults, Keychain, FileManager
Navigationreferences/navigation.mdNavigationStack, Coordinator, deep links, sheets
Performancereferences/performance.mdInstruments, memory, launch time, rendering
Metal & Heavy Graphicsreferences/metal-graphics.mdMetal, GPU рендер, TBDR, PSO/heaps/argument buffers, ICB, MTLIO, MetalFX, терморегуляция, профилирование GPU

iOS version matrix (API availability)

FeatureMin iOS
SwiftUIiOS 13
async/awaitiOS 15
NavigationStackiOS 16
SwiftDataiOS 17
@Observable macroiOS 17
RippleEffect, ScrollView phasesiOS 18

Always check target before using newer APIs. Use #available guards for backward compatibility:

swift
if #available(iOS 17, *) {
    // SwiftData or @Observable
} else {
    // fallback
}

Core Swift patterns (always apply)

Concurrency — async/await first

swift
// Prefer this
func loadUser() async throws -> User {
    let data = try await URLSession.shared.data(from: url).0
    return try JSONDecoder().decode(User.self, from: data)
}

// Call site
Task {
    do {
        user = try await loadUser()
    } catch {
        errorMessage = error.localizedDescription
    }
}

Error handling — typed errors

swift
enum AppError: LocalizedError {
    case networkUnavailable
    case decodingFailed(String)
    case unauthorized
    
    var errorDescription: String? {
        switch self {
        case .networkUnavailable: return "No internet connection"
        case .decodingFailed(let detail): return "Data error: \(detail)"
        case .unauthorized: return "Please sign in again"
        }
    }
}

Value types first

Prefer struct over class unless you need reference semantics, inheritance, or @Observable.


Architecture decision tree

Is the screen purely data-display with simple interaction?
  YES → MVC / simple SwiftUI View with @State is fine
  NO ↓

Is business logic testable without UI?
  Required → use ViewModel (MVVM) or Store (TCA)

Is navigation/routing complex (deep links, coordinator)?
  YES → read references/navigation.md → Coordinator pattern

Is the team large or is this a long-lived product?
  YES → Clean Architecture or TCA → read references/architecture.md

Default for most apps: MVVM + Coordinator

State management quick reference

SwiftUI state hierarchy

Local transient state       → @State
Passed from parent          → @Binding
Shared across views         → @StateObject / @ObservedObject (iOS 16-)
                            → @State with @Observable class (iOS 17+)
App-wide environment        → @EnvironmentObject / @Environment

iOS 17+ preferred (@Observable)

swift
@Observable
class UserStore {
    var users: [User] = []
    var isLoading = false
}

// In View — no property wrapper needed
struct UserListView: View {
    var store: UserStore  // just pass it
    var body: some View {
        List(store.users) { Text($0.name) }
    }
}

iOS 16 and below (ObservableObject)

swift
class UserViewModel: ObservableObject {
    @Published var users: [User] = []
    @Published var isLoading = false
}

struct UserListView: View {
    @StateObject private var vm = UserViewModel()
}

Xcode & project setup checklist

New project:

  • Set deployment target explicitly
  • Enable Swift strict concurrency warnings (SWIFT_STRICT_CONCURRENCY = complete)
  • Add .gitignore for Xcode (xcuserdata, DerivedData)
  • Configure signing (automatic vs manual)
  • Set bundle ID and version/build numbers

Capabilities to enable when needed:

  • Push Notifications → add Push Notifications capability
  • Background fetch → Background Modes
  • iCloud/CloudKit → iCloud
  • Sign in with Apple → Sign In with Apple

Testing baseline

swift
// Unit test — ViewModel
@MainActor
final class UserViewModelTests: XCTestCase {
    func testLoadUsers() async throws {
        let vm = UserViewModel(service: MockUserService())
        await vm.loadUsers()
        XCTAssertFalse(vm.users.isEmpty)
    }
}

// UI test — basic
func testLoginFlow() {
    let app = XCUIApplication()
    app.launch()
    app.textFields["Email"].tap()
    app.textFields["Email"].typeText("test@example.com")
    app.buttons["Continue"].tap()
    XCTAssertTrue(app.navigationBars["Home"].exists)
}

Common pitfalls

PitfallFix
Purple warning: "Publishing changes from background thread"Wrap in await MainActor.run { } or mark func @MainActor
View re-renders too oftenAudit @State/@Published — split large ViewModels
Memory leak in closuresUse [weak self] captures in escaping closures
@StateObject recreatedMove object creation up the tree; don't init in body
Keyboard covering text fieldUse .ignoresSafeArea(.keyboard, edges: .bottom) or ScrollView
Slow listUse LazyVStack or List with id: stability
Simulator ≠ device behaviorAlways test on real device before submission
Metal: CPU↔GPU stallTriple buffer + DispatchSemaphore; никогда не ждать GPU синхронно в draw()
Metal: PSO компилируется в рантаймеСоздавать все PSO до первого кадра, кешировать
Metal: лишние load/storestoreAction = .dontCare для transient (depth buffer)
Metal: OOM jetsamМониторить currentAllocatedSize vs recommendedMaxWorkingSetSize; освобождать при warning
Metal: статтер при загрузкеMTLIO + MTLSharedEvent вместо блокирующей загрузки; ODR для тяжёлых ассетов
Metal: перегревПодписаться на thermalStateDidChangeNotification, адаптировать render scale + FPS

Hardware budget ориентиры (GPU capability levels)

Планировать по capability-уровням, не под конкретную модель. Всегда включать adaptive quality.

УровеньSoCРеалистичный targetКлючевые ограничения
Широкий охватA13–A15 (iPhone SE, 13, 14)30–60 FPS, агрессивный render scaleСтрогий бюджет RT; MetalFX обязателен для сложных сцен
СреднийA16 (iPhone 15), M160 FPS при хорошем пайплайнеMetalFX + динамический render scale
ФлагманA17 Pro (iPhone 15 Pro), M3+60–120 FPS, тяжёлые эффектыRay tracing (аппаратный); всё равно нужен thermal management

Важно: даже флагманы упираются в термальную стабильность при длительной нагрузке, а не в пиковую мощность GPU.


App Store submission checklist

  • Increment build number for every TestFlight upload
  • Privacy manifest (PrivacyInfo.xcprivacy) required for sensitive APIs
  • App icons all sizes provided (use Asset Catalog)
  • Screenshots for all required device sizes
  • Export compliance (encryption questions)
  • App Review Information filled in
  • No UIRequiresFullScreen = NO without iPad support reasoning

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 Ios Development AI skill do?

Comprehensive iOS app development skill. Use this skill for ANY iOS-related task: writing Swift/SwiftUI/UIKit code, architecting apps, debugging crashes, setting up navigation, networking, data persistence, animations, performance optimization, App Store submission, Xcode configuration. Trigger when user mentions: iOS, Swift, SwiftUI, UIKit, Xcode, iPhone/iPad app, Combine, CoreData, SwiftData, MVVM, TCA, URLSession, async/await, @State/@Binding/@ObservableObject, NavigationStack, XCTest, TestFlight, provisioning profiles, or any Apple platform development. Always use this skill before writ...

Why use Ios Development on TypingMind?

Because you install it once and use it with any model. Ios Development 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 Ios Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/ios/ios-development. 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 Ios Development?

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 Ios Development?

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

Is the Ios Development AI skill free?

Yes. It is published on GitHub by AnastasiyaW 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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