swift-actor-persistence
by affaan-mswift-actor-persistence is a Swift actor-based persistence pattern for thread-safe local storage, combining in-memory cache with file-backed data. Use it for offline-first apps and Backend Development when you want serialized access, cleaner concurrency, and less locking guesswork.
This skill scores 74/100 and is worth listing: it gives agents a clear Swift persistence use case, a concrete actor-based repository pattern, and enough implementation detail to reduce guesswork versus a generic prompt. Directory users should still expect some adoption friction because it lacks install commands, supporting files, and broader workflow coverage beyond the core pattern.
- Clear activation guidance for Swift 5.5+ persistence and offline-first storage use cases.
- Substantial body content with an actor-based repository example that shows the intended workflow.
- Operationally useful constraints are stated, including actor isolation, thread safety, and file-backed caching.
- No install command, support files, or references, so users must infer integration steps from the SKILL.md content.
- Evidence is concentrated in one workflow pattern; edge cases and broader persistence variants are not covered.
Overview of swift-actor-persistence skill
What swift-actor-persistence does
The swift-actor-persistence skill helps you design a Swift persistence layer backed by an actor, typically combining an in-memory cache with file-backed storage. It is aimed at cases where you want thread-safe reads and writes without manual locks or DispatchQueue juggling.
Best fit for this skill
Use the swift-actor-persistence skill when you are building a local data layer for Swift 5.5+ apps, especially offline-first or single-device storage flows. It is a good fit for backend-style Swift code too, where predictable serialized access matters more than raw concurrent mutation.
Why it is different
The main value is not “save data to a file,” but “save data safely through actor isolation.” That makes the swift-actor-persistence guide useful when race conditions, shared mutable state, or brittle synchronization are blocking your implementation choices.
How to Use swift-actor-persistence skill
Install and activate it
For install, use the repo’s skill path and invoke the swift-actor-persistence install flow in your skills manager, for example:
npx skills add affaan-m/everything-claude-code --skill swift-actor-persistence
Then activate the skill when your task needs a Swift persistence abstraction, not just a one-off file write.
Give the skill the right input
The swift-actor-persistence usage works best when you provide:
- the model type and
Codable/Identifiableconstraints - whether IDs are
Stringor another type - expected storage location and filename
- whether you need CRUD only or also queries, sorting, or migration behavior
- your app context: iOS app, macOS app, CLI, or Backend Development
A weak prompt says: “Make a persistence layer.”
A stronger prompt says: “Create a LocalRepository<User> actor for an offline-first Swift app, using JSON file storage in the documents directory, with async-safe CRUD and synchronous load during init.”
Read these parts first
For the fastest install-to-use path, read SKILL.md first, then inspect the example code around the actor-based repository pattern and the “When to Activate” section. Those parts tell you when the pattern is appropriate, what the API shape should look like, and where the concurrency boundaries are.
Workflow that produces better output
Start with the storage problem, then ask for the actor interface, then ask for persistence details. The best swift-actor-persistence guide workflow is:
- define the data model and identity rules
- choose file format and storage location
- decide which methods must be public
- confirm whether loading happens synchronously at init or lazily
- ask for error handling and overwrite behavior explicitly
swift-actor-persistence skill FAQ
Is swift-actor-persistence only for apps, not servers?
No. The pattern is useful in app code and also in Backend Development when you want a simple, serializable persistence boundary for a local cache or lightweight store. It is less suitable for shared database access or multi-process storage coordination.
Do I need the skill if I can already write Swift prompts?
Yes, if you want less guesswork around actor isolation, repository shape, and storage boundaries. A generic prompt may produce code that compiles but still mixes persistence concerns, weakens concurrency guarantees, or hides important file-loading assumptions.
Is this beginner-friendly?
Yes, if you already know basic Swift types and async concepts. The swift-actor-persistence skill is not about advanced framework integration; it is about choosing a safe persistence pattern and applying it consistently.
When should I not use it?
Do not use it when you need relational queries, cloud sync, multi-user access, or high-volume transactional storage. In those cases, the actor-backed file store can become a constraint rather than a simplification.
How to Improve swift-actor-persistence skill
Specify the concurrency contract
The biggest quality jump comes from telling the skill exactly what must be protected by actor isolation. If your data can be read often but written rarely, say that. If writes must be durable before returning, say that too. This helps the swift-actor-persistence skill avoid vague “thread-safe” code and produce the right tradeoff.
Provide concrete storage rules
The skill works better when you define file format, location, overwrite policy, and failure behavior up front. For example: “Use JSON in the app documents directory, replace the full file on each save, and surface I/O errors to the caller.” Those details make the swift-actor-persistence usage more actionable and reduce hidden assumptions.
Iterate from API shape to edge cases
After the first draft, ask for the rough edges: init-time loading, empty-store behavior, missing-file recovery, and update/delete semantics. If you are using swift-actor-persistence for Backend Development, also ask how the actor should be adapted for long-lived services, testability, and dependency injection.