Selects, reviews, and migrates Apple-platform app architectures across MV with Observation, MVVM, MVI, TCA, Clean Architecture, Coordinator, and legacy VIPER. Use when choosing module and dependency boundaries, escalating a feature beyond simple SwiftUI MV, planning incremental architecture migration, or auditing state ownership and test seams.
npx skills add https://github.com/dpearson2699/swift-ios-skills --skill swift-architecture
Choose the smallest architecture that makes state ownership, dependencies, side effects, and tests explicit. Default new SwiftUI features to MV; escalate only for observed complexity.
This skill owns pattern selection, module boundaries, dependency direction, migration strategy, and architecture-level test seams. Route SwiftUI property-wrapper wiring and view composition to swiftui-patterns, navigation APIs and route models to swiftui-navigation, isolation diagnostics to swift-concurrency, and test syntax/fixtures to swift-testing.
| Pattern | Choose when | Main cost |
|---|---|---|
| MV | SwiftUI feature has straightforward state and orchestration | Logic can drift into large views without decomposition |
| MVVM | Presentation logic needs an independently testable adapter | Extra layer can become a forwarding shell |
| MVI | A feature is best modeled as explicit state + intents + reducer/effects | Boilerplate and centralized transition design |
| TCA | Many composable features need deterministic effects, dependencies, and testing | Framework learning and architectural commitment |
| Clean Architecture | Large product needs strict dependency direction across domain/data/UI | Protocol and mapping overhead |
| Coordinator | UIKit or hybrid navigation needs a separate flow owner | Another lifecycle and routing owner |
| VIPER | Maintaining an existing UIKit module with established VIPER boundaries | Very high ceremony; poor default for new SwiftUI work |
Use Coordinator alongside another state pattern when navigation complexity is the pressure; it is not a replacement for domain/state architecture.
Keep views as state expressions and put business operations in observable models and injected services:
@MainActor
@Observable
final class TripStore {
private let client: TripClient
var trips: [Trip] = []
var error: Error?
init(client: TripClient) { self.client = client }
func load() async {
do { trips = try await client.fetchTrips() }
catch { self.error = error }
}
}
struct TripList: View {
@State private var store: TripStore
init(client: TripClient) {
_store = State(initialValue: TripStore(client: client))
}
var body: some View {
List(store.trips) { Text($0.name) }
.task { await store.load() }
}
}
Load Architecture Pattern Recipes for MVVM, MVI, TCA, Clean Architecture, Coordinator, and VIPER structure.
Do not escalate merely because a view is long. First extract subviews, services, and focused observable models.
Migrate one feature boundary at a time:
For ObservableObject to Observation, preserve the same owner and mutation isolation before replacing wrappers. For MVVM to MV, delete forwarding view-model members only after views bind to the same model/service behavior. For TCA adoption, wrap one feature's state/actions/effects and migrate dependencies incrementally.
| Mistake | Fix |
|---|---|
| Pattern chosen by popularity | Tie it to an observed feature pressure. |
| View model only forwards properties | Remove it and use MV. |
| One object owns navigation, networking, formatting, persistence, and UI state | Split by responsibility and dependency direction. |
| TCA or Clean Architecture applied to trivial screens | Start with MV and preserve an escalation seam. |
| Coordinator used as a state architecture | Keep it focused on route/lifecycle ownership. |
| Multiple patterns mixed inside one feature | Define one local state/effect model and migrate at feature boundaries. |
| Big-bang migration | Move one tested vertical slice and rerun the same proof matrix. |
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
Take dpearson2699/swift-architecture from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.