accessibility
Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android…
Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design. Use when persisting data in Swift and a data race or thread-safety problem needs designing out.
$ npx -y skills add affaan-m/ECC --skill swift-actor-persistence --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/swift-actor-persistenceContext preview
The summary Claude sees to decide when to auto-load this skill.
Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design. Use when persisting data in Swift and a data race or thread-safety problem needs designing out.
name: swift-actor-persistence description: Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design. Use when persisting data in Swift and a data race or thread-safety problem needs designing out. metadata: origin: ECC
Patterns for building thread-safe data persistence layers using Swift actors. Combines in-memory caching with file-backed storage, leveraging the actor model to eliminate data races at compile time.
The actor model guarantees serialized access — no data races, enforced by the compiler.
public actor LocalRepository<T: Codable & Identifiable> where T.ID == String {
private var cache: [String: T] = [:]
private let fileURL: URL
public init(directory: URL = .documentsDirectory, filename: String = "data.json") {
self.fileURL = directory.appendingPathComponent(filename)
// Synchronous load during init (actor isolation not yet active)
self.cache = Self.loadSynchronously(from: fileURL)
}
// MARK: - Public API
public func save(_ item: T) throws {
cache[item.id] = item
try persistToFile()
}
public func delete(_ id: String) throws {
cache[id] = nil
try persistToFile()
}
public func find(by id: String) -> T? {
cache[id]
}
public func loadAll() -> [T] {
Array(cache.values)
}
// MARK: - Private
private func persistToFile() throws {
let data = try JSONEncoder().encode(Array(cache.values))
try data.write(to: fileURL, options: .atomic)
}
private static func loadSynchronously(from url: URL) -> [String: T] {
guard let data = try? Data(contentsOf: url),
let items = try? JSONDecoder().decode([T].self, from: data) else {
return [:]
}
return Dictionary(uniqueKeysWithValues: items.map { ($0.id, $0) })
}
}All calls are automatically async due to actor isolation:
let repository = LocalRepository<Question>()
// Read — fast O(1) lookup from in-memory cache
let question = await repository.find(by: "q-001")
let allQuestions = await repository.loadAll()
// Write — updates cache and persists to file atomically
try await repository.save(newQuestion)
try await repository.delete("q-001")@Observable
final class QuestionListViewModel {
private(set) var questions: [Question] = []
private let repository: LocalRepository<Question>
init(repository: LocalRepository<Question> = LocalRepository()) {
self.repository = repository
}
func load() async {
questions = await repository.loadAll()
}
func add(_ question: Question) async throws {
try await repository.save(question)
questions = await repository.loadAll()
}
}| Decision | Rationale | |----------|-----------| | Actor (not class + lock) | Compiler-enforced thread safety, no manual synchronization | | In-memory cache + file persistence | Fast reads from cache, durable writes to disk | | Synchronous init loading | Avoids async initialization complexity | | Dictionary keyed by ID | O(1) lookups by identifier | | Generic over `Codable & Identifiable` | Reusable across any model type | | Atomic file writes (`.atomic`) | Prevents partial writes on crash |
Your agent can write code, but ECC gives it a coordinated engineering system and toolbox: it plans before it builds, verifies changes with tests, reviews its own work from a fresh context, remembers what matters, and turns repeated wins into reusable skills
Repo: affaan-m/ECC
Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android…
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for…
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks…
Design and optimize AI agent action spaces, tool definitions, and observation formatting for…
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained…
Use after completing any non-trivial task. The agent self-rates its output on 5 axes —…