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Swift Expert

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Jeffallan
swift-expert

Builds iOS/macOS/watchOS/tvOS applications, implements SwiftUI views and state management, designs protocol-oriented architectures, handles async/await concurrency, implements actors for thread safety, and debugs Swift-specific issues. Use when building iOS/macOS applications with Swift 5.9+, SwiftUI, or async/await concurrency. Invoke for protocol-oriented programming, SwiftUI state management, actors, server-side Swift, UIKit integration, Combine, or Vapor.

Overview

PublisherJeffallan
Repositoryclaude-skills
Skill nameswift-expert
Stars
11.5K
Forks
1.1K
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Swift Expert 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/Jeffallan/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/swift-expert .claude/skills/swift-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Swift Expert 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 Swift Expert 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 Swift Expert 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.

Swift Expert

Core Workflow

  1. Architecture Analysis - Identify platform targets, dependencies, design patterns
  2. Design Protocols - Create protocol-first APIs with associated types
  3. Implement - Write type-safe code with async/await and value semantics
  4. Optimize - Profile with Instruments, ensure thread safety
  5. Test - Write comprehensive tests with XCTest and async patterns

Validation checkpoints: After step 3, run swift build to verify compilation. After step 4, run swift build -warnings-as-errors to surface actor isolation and Sendable warnings. After step 5, run swift test and confirm all async tests pass.

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
SwiftUIreferences/swiftui-patterns.mdBuilding views, state management, modifiers
Concurrencyreferences/async-concurrency.mdasync/await, actors, structured concurrency
Protocolsreferences/protocol-oriented.mdProtocol design, generics, type erasure
Memoryreferences/memory-performance.mdARC, weak/unowned, performance optimization
Testingreferences/testing-patterns.mdXCTest, async tests, mocking strategies

Code Patterns

async/await — Correct vs. Incorrect

swift
// ✅ DO: async/await with structured error handling
func fetchUser(id: String) async throws -> User {
    let url = URL(string: "https://api.example.com/users/\(id)")!
    let (data, _) = try await URLSession.shared.data(from: url)
    return try JSONDecoder().decode(User.self, from: data)
}

// ❌ DON'T: mixing completion handlers with async context
func fetchUser(id: String) async throws -> User {
    return try await withCheckedThrowingContinuation { continuation in
        // Avoid wrapping existing async APIs this way when a native async version exists
        legacyFetch(id: id) { result in
            continuation.resume(with: result)
        }
    }
}

SwiftUI State Management

swift
// ✅ DO: use @Observable (Swift 5.9+) for view models
@Observable
final class CounterViewModel {
    var count = 0
    func increment() { count += 1 }
}

struct CounterView: View {
    @State private var vm = CounterViewModel()

    var body: some View {
        VStack {
            Text("\(vm.count)")
            Button("Increment", action: vm.increment)
        }
    }
}

// ❌ DON'T: reach for ObservableObject/Published when @Observable suffices
class LegacyViewModel: ObservableObject {
    @Published var count = 0  // Unnecessary boilerplate in Swift 5.9+
}

Protocol-Oriented Architecture

swift
// ✅ DO: define capability protocols with associated types
protocol Repository<Entity> {
    associatedtype Entity: Identifiable
    func fetch(id: Entity.ID) async throws -> Entity
    func save(_ entity: Entity) async throws
}

struct UserRepository: Repository {
    typealias Entity = User
    func fetch(id: UUID) async throws -> User { /* … */ }
    func save(_ user: User) async throws { /* … */ }
}

// ❌ DON'T: use classes as base types when a protocol fits
class BaseRepository {  // Avoid class inheritance for shared behavior
    func fetch(id: UUID) async throws -> Any { fatalError("Override required") }
}

Actor for Thread Safety

swift
// ✅ DO: isolate mutable shared state in an actor
actor ImageCache {
    private var cache: [URL: UIImage] = [:]

    func image(for url: URL) -> UIImage? { cache[url] }
    func store(_ image: UIImage, for url: URL) { cache[url] = image }
}

// ❌ DON'T: use a class with manual locking
class UnsafeImageCache {
    private var cache: [URL: UIImage] = [:]
    private let lock = NSLock()  // Error-prone; prefer actor isolation
    func image(for url: URL) -> UIImage? {
        lock.lock(); defer { lock.unlock() }
        return cache[url]
    }
}

Constraints

MUST DO

  • Use type hints and inference appropriately
  • Follow Swift API Design Guidelines
  • Use async/await for asynchronous operations (see pattern above)
  • Ensure Sendable compliance for concurrency
  • Use value types (struct/enum) by default
  • Document APIs with markup comments (/// …)
  • Use property wrappers for cross-cutting concerns
  • Profile with Instruments before optimizing

MUST NOT DO

  • Use force unwrapping (!) without justification
  • Create retain cycles in closures
  • Mix synchronous and asynchronous code improperly
  • Ignore actor isolation warnings
  • Use implicitly unwrapped optionals unnecessarily
  • Skip error handling
  • Use Objective-C patterns when Swift alternatives exist
  • Hardcode platform-specific values

Output Templates

When implementing Swift features, provide:

  1. Protocol definitions and type aliases
  2. Model types (structs/classes with value semantics)
  3. View implementations (SwiftUI) or view controllers
  4. Tests demonstrating usage
  5. Brief explanation of architectural decisions

Documentation

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 Swift Expert AI skill do?

Builds iOS/macOS/watchOS/tvOS applications, implements SwiftUI views and state management, designs protocol-oriented architectures, handles async/await concurrency, implements actors for thread safety, and debugs Swift-specific issues. Use when building iOS/macOS applications with Swift 5.9+, SwiftUI, or async/await concurrency. Invoke for protocol-oriented programming, SwiftUI state management, actors, server-side Swift, UIKit integration, Combine, or Vapor.

Why use Swift Expert on TypingMind?

Because you install it once and use it with any model. Swift Expert 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 Swift Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jeffallan/claude-skills/tree/main/skills/swift-expert. 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 Swift Expert?

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 Swift Expert?

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

Is the Swift Expert AI skill free?

Yes. It is published on GitHub by Jeffallan 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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