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Swiftui View Refactor

CommunityPopular
steipete
swiftui-view-refactor

SwiftUI view refactor/review: layout, DI, Observation, view models.

Overview

Publishersteipete
Repositoryagent-scripts
Skill nameswiftui-view-refactor
Stars
6.6K
Forks
547
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Swiftui View Refactor 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/steipete/agent-scripts.git /tmp/agent-scripts
mkdir -p .claude/skills
cp -r /tmp/agent-scripts/skills/swiftui-view-refactor .claude/skills/swiftui-view-refactor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Swiftui View Refactor 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 View Refactor 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 View Refactor 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 View Refactor

Attribution: copied from @Dimillian’s Dimillian/Skills (2025-12-31).

Overview

Apply a consistent structure and dependency pattern to SwiftUI views, with a focus on ordering, Model-View (MV) patterns, careful view model handling, and correct Observation usage.

Core Guidelines

1) View ordering (top → bottom)

  • Environment
  • private/public let
  • @State / other stored properties
  • computed var (non-view)
  • init
  • body
  • computed view builders / other view helpers
  • helper / async functions

2) Prefer MV (Model-View) patterns

  • Default to MV: Views are lightweight state expressions; models/services own business logic.
  • Favor @State, @Environment, @Query, and task/onChange for orchestration.
  • Inject services and shared models via @Environment; keep views small and composable.
  • Split large views into subviews rather than introducing a view model.

3) Split large bodies and view properties

  • If body grows beyond a screen or has multiple logical sections, split it into smaller subviews.
  • Extract large computed view properties (var header: some View { ... }) into dedicated View types when they carry state or complex branching.
  • It's fine to keep related subviews as computed view properties in the same file; extract to a standalone View struct only when it structurally makes sense or when reuse is intended.
  • Prefer passing small inputs (data, bindings, callbacks) over reusing the entire parent view state.

Example (extracting a section):

swift
var body: some View {
    VStack(alignment: .leading, spacing: 16) {
        HeaderSection(title: title, isPinned: isPinned)
        DetailsSection(details: details)
        ActionsSection(onSave: onSave, onCancel: onCancel)
    }
}

Example (long body → shorter body + computed views in the same file):

swift
var body: some View {
    List {
        header
        filters
        results
        footer
    }
}

private var header: some View {
    VStack(alignment: .leading, spacing: 6) {
        Text(title).font(.title2)
        Text(subtitle).font(.subheadline)
    }
}

private var filters: some View {
    ScrollView(.horizontal, showsIndicators: false) {
        HStack {
            ForEach(filterOptions, id: \.self) { option in
                FilterChip(option: option, isSelected: option == selectedFilter)
                    .onTapGesture { selectedFilter = option }
            }
        }
    }
}

Example (extracting a complex computed view):

swift
private var header: some View {
    HeaderSection(title: title, subtitle: subtitle, status: status)
}

private struct HeaderSection: View {
    let title: String
    let subtitle: String?
    let status: Status

    var body: some View {
        VStack(alignment: .leading, spacing: 4) {
            Text(title).font(.headline)
            if let subtitle { Text(subtitle).font(.subheadline) }
            StatusBadge(status: status)
        }
    }
}

4) View model handling (only if already present)

  • Do not introduce a view model unless the request or existing code clearly calls for one.
  • If a view model exists, make it non-optional when possible.
  • Pass dependencies to the view via init, then pass them into the view model in the view's init.
  • Avoid bootstrapIfNeeded patterns.

Example (Observation-based):

swift
@State private var viewModel: SomeViewModel

init(dependency: Dependency) {
    _viewModel = State(initialValue: SomeViewModel(dependency: dependency))
}

5) Observation usage

  • For @Observable reference types, store them as @State in the root view.
  • Pass observables down explicitly as needed; avoid optional state unless required.

Workflow

  1. Reorder the view to match the ordering rules.
  2. Favor MV: move lightweight orchestration into the view using @State, @Environment, @Query, task, and onChange.
  3. If a view model exists, replace optional view models with a non-optional @State view model initialized in init by passing dependencies from the view.
  4. Confirm Observation usage: @State for root @Observable view models, no redundant wrappers.
  5. Keep behavior intact: do not change layout or business logic unless requested.

Notes

  • Prefer small, explicit helpers over large conditional blocks.
  • Keep computed view builders below body and non-view computed vars above init.
  • For MV-first guidance and rationale, see references/mv-patterns.md.

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 View Refactor AI skill do?

SwiftUI view refactor/review: layout, DI, Observation, view models.

Why use Swiftui View Refactor on TypingMind?

Because you install it once and use it with any model. Swiftui View Refactor 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 View Refactor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/steipete/agent-scripts/tree/main/skills/swiftui-view-refactor. 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 View Refactor?

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 View Refactor?

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

Is the Swiftui View Refactor AI skill free?

Yes. It is published on GitHub by steipete 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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