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Swiftui Ui Patterns

CommunityPopular
Dimillian
swiftui-ui-patterns

Best practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples.

Overview

PublisherDimillian
RepositorySkills
Skill nameswiftui-ui-patterns
Stars
4K
Forks
206
Bundled files
31
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.

  • 31 bundled files

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

  • Open source

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

Installation

Install the Swiftui Ui Patterns 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/Dimillian/Skills.git /tmp/Skills
mkdir -p .claude/skills
cp -r /tmp/Skills/swiftui-ui-patterns .claude/skills/swiftui-ui-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Swiftui Ui Patterns 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 Swiftui Ui Patterns 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 Swiftui Ui Patterns 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.

SwiftUI UI Patterns

Quick start

Choose a track based on your goal:

Existing project

  • Identify the feature or screen and the primary interaction model (list, detail, editor, settings, tabbed).
  • Find a nearby example in the repo with rg "TabView\(" or similar, then read the closest SwiftUI view.
  • Apply local conventions: prefer SwiftUI-native state, keep state local when possible, and use environment injection for shared dependencies.
  • Choose the relevant component reference from references/components-index.md and follow its guidance.
  • If the interaction reveals secondary content by dragging or scrolling the primary content away, read references/scroll-reveal.md before implementing gestures manually.
  • Build the view with small, focused subviews and SwiftUI-native data flow.

New project scaffolding

  • Start with references/app-wiring.md to wire TabView + NavigationStack + sheets.
  • Add a minimal AppTab and RouterPath based on the provided skeletons.
  • Choose the next component reference based on the UI you need first (TabView, NavigationStack, Sheets).
  • Expand the route and sheet enums as new screens are added.

General rules to follow

  • Use modern SwiftUI state (@State, @Binding, @Observable, @Environment) and avoid unnecessary view models.
  • If the deployment target includes iOS 16 or earlier and cannot use the Observation API introduced in iOS 17, fall back to ObservableObject with @StateObject for root ownership, @ObservedObject for injected observation, and @EnvironmentObject only for truly shared app-level state.
  • Prefer composition; keep views small and focused.
  • Use async/await with .task and explicit loading/error states. For restart, cancellation, and debouncing guidance, read references/async-state.md.
  • Keep shared app services in @Environment, but prefer explicit initializer injection for feature-local dependencies and models. For root wiring patterns, read references/app-wiring.md.
  • Prefer the newest SwiftUI API that fits the deployment target and call out the minimum OS whenever a pattern depends on it.
  • Maintain existing legacy patterns only when editing legacy files.
  • Follow the project's formatter and style guide.
  • Sheets: Prefer .sheet(item:) over .sheet(isPresented:) when state represents a selected model. Avoid if let inside a sheet body. Sheets should own their actions and call dismiss() internally instead of forwarding onCancel/onConfirm closures.
  • Scroll-driven reveals: Prefer deriving a normalized progress value from scroll offset and driving the visual state from that single source of truth. Avoid parallel gesture state machines unless scroll alone cannot express the interaction.

State ownership summary

Use the narrowest state tool that matches the ownership model:

ScenarioPreferred pattern
Local UI state owned by one view@State
Child mutates parent-owned value state@Binding
Root-owned reference model on iOS 17+@State with an @Observable type
Child reads or mutates an injected @Observable model on iOS 17+Pass it explicitly as a stored property
Shared app service or configuration@Environment(Type.self)
Legacy reference model on iOS 16 and earlier@StateObject at the root, @ObservedObject when injected

Choose the ownership location first, then pick the wrapper. Do not introduce a reference model when plain value state is enough.

Cross-cutting references

  • references/navigationstack.md: navigation ownership, per-tab history, and enum routing.
  • references/sheets.md: centralized modal presentation and enum-driven sheets.
  • references/deeplinks.md: URL handling and routing external links into app destinations.
  • references/app-wiring.md: root dependency graph, environment usage, and app shell wiring.
  • references/async-state.md: .task, .task(id:), cancellation, debouncing, and async UI state.
  • references/previews.md: #Preview, fixtures, mock environments, and isolated preview setup.
  • references/performance.md: stable identity, observation scope, lazy containers, and render-cost guardrails.

Anti-patterns

  • Giant views that mix layout, business logic, networking, routing, and formatting in one file.
  • Multiple boolean flags for mutually exclusive sheets, alerts, or navigation destinations.
  • Live service calls directly inside body-driven code paths instead of view lifecycle hooks or injected models/services.
  • Reaching for AnyView to work around type mismatches that should be solved with better composition.
  • Defaulting every shared dependency to @EnvironmentObject or a global router without a clear ownership reason.

Workflow for a new SwiftUI view

  1. Define the view's state, ownership location, and minimum OS assumptions before writing UI code.
  2. Identify which dependencies belong in @Environment and which should stay as explicit initializer inputs.
  3. Sketch the view hierarchy, routing model, and presentation points; extract repeated parts into subviews. For complex navigation, read references/navigationstack.md, references/sheets.md, or references/deeplinks.md. Build and verify no compiler errors before proceeding.
  4. Implement async loading with .task or .task(id:), plus explicit loading and error states when needed. Read references/async-state.md when the work depends on changing inputs or cancellation.
  5. Add previews for the primary and secondary states, then add accessibility labels or identifiers when the UI is interactive. Read references/previews.md when the view needs fixtures or injected mock dependencies.
  6. Validate with a build: confirm no compiler errors, check that previews render without crashing, ensure state changes propagate correctly, and sanity-check that list identity and observation scope will not cause avoidable re-renders. Read references/performance.md if the screen is large, scroll-heavy, or frequently updated. For common SwiftUI compilation errors — missing @State annotations, ambiguous ViewBuilder closures, or mismatched generic types — resolve them before updating callsites. If the build fails: read the error message carefully, fix the identified issue, then rebuild before proceeding to the next step. If a preview crashes, isolate the offending subview, confirm its state initialisation is valid, and re-run the preview before continuing.

Component references

Use references/components-index.md as the entry point. Each component reference should include:

  • Intent and best-fit scenarios.
  • Minimal usage pattern with local conventions.
  • Pitfalls and performance notes.
  • Paths to existing examples in the current repo.

Adding a new component reference

  • Create references/<component>.md.
  • Keep it short and actionable; link to concrete files in the current repo.
  • Update references/components-index.md with the new entry.

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 Swiftui Ui Patterns AI skill do?

Best practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples.

Why use Swiftui Ui Patterns on TypingMind?

Because you install it once and use it with any model. Swiftui Ui Patterns 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 Swiftui Ui Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dimillian/Skills/tree/main/swiftui-ui-patterns. 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 Swiftui Ui Patterns?

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 Swiftui Ui Patterns?

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

Is the Swiftui Ui Patterns AI skill free?

Yes. It is published on GitHub by Dimillian 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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