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swift-concurrency-6-2

Swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types. Use when adopting Swift 6.2 concurrency — offloading with @concurrent or resolving main-actor isolation.

swift-concurrency-6-2 是什麼?

swift-concurrency-6-2 is a Claude Code agent skill that swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types. Use when adopting Swift 6.2 concurrency — offloading with @concurrent or resolving main-actor isolation.

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說明文件

Swift 6.2 Approachable Concurrency

Patterns for adopting Swift 6.2's concurrency model where code runs single-threaded by default and concurrency is introduced explicitly. Eliminates common data-race errors without sacrificing performance.

When to Activate

  • Migrating Swift 5.x or 6.0/6.1 projects to Swift 6.2
  • Resolving data-race safety compiler errors
  • Designing MainActor-based app architecture
  • Offloading CPU-intensive work to background threads
  • Implementing protocol conformances on MainActor-isolated types
  • Enabling Approachable Concurrency build settings in Xcode 26

Core Problem: Implicit Background Offloading

In Swift 6.1 and earlier, async functions could be implicitly offloaded to background threads, causing data-race errors even in seemingly safe code:

// Swift 6.1: ERROR
@MainActor
final class StickerModel {
    let photoProcessor = PhotoProcessor()

    func extractSticker(_ item: PhotosPickerItem) async throws -> Sticker? {
        guard let data = try await item.loadTransferable(type: Data.self) else { return nil }

        // Error: Sending 'self.photoProcessor' risks causing data races
        return await photoProcessor.extractSticker(data: data, with: item.itemIdentifier)
    }
}

Swift 6.2 fixes this: async functions stay on the calling actor by default.

// Swift 6.2: OK — async stays on MainActor, no data race
@MainActor
final class StickerModel {
    let photoProcessor = PhotoProcessor()

    func extractSticker(_ item: PhotosPickerItem) async throws -> Sticker? {
        guard let data = try await item.loadTransferable(type: Data.self) else { return nil }
        return await photoProcessor.extractSticker(data: data, with: item.itemIdentifier)
    }
}

Core Pattern — Isolated Conformances

MainActor types can now conform to non-isolated protocols safely:

protocol Exportable {
    func export()
}

// Swift 6.1: ERROR — crosses into main actor-isolated code
// Swift 6.2: OK with isolated conformance
extension StickerModel: @MainActor Exportable {
    func export() {
        photoProcessor.exportAsPNG()
    }
}

The compiler ensures the conformance is only used on the main actor:

// OK — ImageExporter is also @MainActor
@MainActor
struct ImageExporter {
    var items: [any Exportable]

    mutating func add(_ item: StickerModel) {
        items.append(item)  // Safe: same actor isolation
    }
}

// ERROR — nonisolated context can't use MainActor conformance
nonisolated struct ImageExporter {
    var items: [any Exportable]

    mutating func add(_ item: StickerModel) {
        items.append(item)  // Error: Main actor-isolated conformance cannot be used here
    }
}

Core Pattern — Global and Static Variables

Protect global/static state with MainActor:

// Swift 6.1: ERROR — non-Sendable type may have shared mutable state
final class StickerLibrary {
    static let shared: StickerLibrary = .init()  // Error
}

// Fix: Annotate with @MainActor
@MainActor
final class StickerLibrary {
    static let shared: StickerLibrary = .init()  // OK
}

MainActor Default Inference Mode

Swift 6.2 introduces a mode where MainActor is inferred by default — no manual annotations needed:

// With MainActor default inference enabled:
final class StickerLibrary {
    static let shared: StickerLibrary = .init()  // Implicitly @MainActor
}

final class StickerModel {
    let photoProcessor: PhotoProcessor
    var selection: [PhotosPickerItem]  // Implicitly @MainActor
}

extension StickerModel: Exportable {  // Implicitly @MainActor conformance
    func export() {
        photoProcessor.exportAsPNG()
    }
}

This mode is opt-in and recommended for apps, scripts, and other executable targets.

Core Pattern — @concurrent for Background Work

When you need actual parallelism, explicitly offload with @concurrent:

Important: This example requires Approachable Concurrency build settings — SE-0466 (MainActor default isolation) and SE-0461 (NonisolatedNonsendingByDefault). With these enabled, extractSticker stays on the caller's actor, making mutable state access safe. Without these settings, this code has a data race — the compiler will flag it.

nonisolated final class PhotoProcessor {
    private var cachedStickers: [String: Sticker] = [:]

    func extractSticker(data: Data, with id: String) async -> Sticker {
        if let sticker = cachedStickers[id] {
            return sticker
        }

        let sticker = await Self.extractSubject(from: data)
        cachedStickers[id] = sticker
        return sticker
    }

    // Offload expensive work to concurrent thread pool
    @concurrent
    static func extractSubject(from data: Data) async -> Sticker { /* ... */ }
}

// Callers must await
let processor = PhotoProcessor()
processedPhotos[item.id] = await processor.extractSticker(data: data, with: item.id)

To use @concurrent:

  1. Mark the containing type as nonisolated
  2. Add @concurrent to the function
  3. Add async if not already asynchronous
  4. Add await at call sites

Key Design Decisions

DecisionRationale
Single-threaded by defaultMost natural code is data-race free; concurrency is opt-in
Async stays on calling actorEliminates implicit offloading that caused data-race errors
Isolated conformancesMainActor types can conform to protocols without unsafe workarounds
@concurrent explicit opt-inBackground execution is a deliberate performance choice, not accidental
MainActor default inferenceReduces boilerplate @MainActor annotations for app targets
Opt-in adoptionNon-breaking migration path — enable features incrementally

Migration Steps

  1. Enable in Xcode: Swift Compiler > Concurrency section in Build Settings
  2. Enable in SPM: Use SwiftSettings API in package manifest
  3. Use migration tooling: Automatic code changes via swift.org/migration
  4. Start with MainActor defaults: Enable inference mode for app targets
  5. Add @concurrent where needed: Profile first, then offload hot paths
  6. Test thoroughly: Data-race issues become compile-time errors

Best Practices

  • Start on MainActor — write single-threaded code first, optimize later
  • Use @concurrent only for CPU-intensive work — image processing, compression, complex computation
  • Enable MainActor inference mode for app targets that are mostly single-threaded
  • Profile before offloading — use Instruments to find actual bottlenecks
  • Protect globals with MainActor — global/static mutable state needs actor isolation
  • Use isolated conformances instead of nonisolated workarounds or @Sendable wrappers
  • Migrate incrementally — enable features one at a time in build settings

Anti-Patterns to Avoid

  • Applying @concurrent to every async function (most don't need background execution)
  • Using nonisolated to suppress compiler errors without understanding isolation
  • Keeping legacy DispatchQueue patterns when actors provide the same safety
  • Skipping model.availability checks in concurrency-related Foundation Models code
  • Fighting the compiler — if it reports a data race, the code has a real concurrency issue
  • Assuming all async code runs in the background (Swift 6.2 default: stays on calling actor)

When to Use

  • All new Swift 6.2+ projects (Approachable Concurrency is the recommended default)
  • Migrating existing apps from Swift 5.x or 6.0/6.1 concurrency
  • Resolving data-race safety compiler errors during Xcode 26 adoption
  • Building MainActor-centric app architectures (most UI apps)
  • Performance optimization — offloading specific heavy computations to background

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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