swiftui-performance

dpearson2699/swift-ios-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/dpearson2699/swift-ios-skills --skill swiftui-performance
0 commentsdiscussion
summary

Diagnose and fix SwiftUI rendering bottlenecks through code review, Instruments profiling, and targeted remediation.

  • Covers view invalidation storms, unstable list identity, expensive body computations, layout thrash, and image decoding issues with concrete code examples and fixes
  • Includes step-by-step Instruments profiling workflow using the SwiftUI template to identify high body-evaluation counts and CPU hotspots
  • Explains identity and lifetime mechanics, lazy loading patterns, and
skill.md

SwiftUI Performance

Audit SwiftUI view performance end-to-end, from instrumentation and baselining to root-cause analysis and concrete remediation steps.

Contents

Workflow Decision Tree

  • If the user provides code, start with "Code-First Review."
  • If the user only describes symptoms, ask for minimal code/context, then do "Code-First Review."
  • If code review is inconclusive, go to "Guide the User to Profile" and ask for a trace or screenshots.

1. Code-First Review

Collect:

  • Target view/feature code.
  • Data flow: state, environment, observable models.
  • Symptoms and reproduction steps.

Focus on:

  • View invalidation storms from broad state changes.
  • Unstable identity in lists (id churn, UUID() per render).
  • Top-level conditional view swapping (if/else returning different root branches).
  • Heavy work in body (formatting, sorting, image decoding).
  • Layout thrash (deep stacks, GeometryReader, preference chains).
  • Large images without downsampling or resizing.
  • Over-animated hierarchies (implicit animations on large trees).

Provide:

  • Likely root causes with code references.
  • Suggested fixes and refactors.
  • If needed, a minimal repro or instrumentation suggestion.

2. Guide the User to Profile

Explain how to collect data with Instruments:

  • Use the SwiftUI template in Instruments.
  • Profile a Release build on a real device when possible.
  • Reproduce the exact interaction (scroll, navigation, animation).
  • Capture SwiftUI timeline and Time Profiler.
  • Export or screenshot the relevant lanes and the call tree.

Ask for:

  • Trace export or screenshots of SwiftUI lanes + Time Profiler call tree.
  • Device/OS/build configuration.

3. Analyze and Diagnose

Prioritize likely SwiftUI culprits:

  • View invalidation storms from broad state changes.
  • Unstable identity in lists (id churn, UUID() per render).
  • Top-level conditional view swapping (if/else returning different root branches).
  • Heavy work in body (formatting, sorting, image decoding).
  • Layout thrash (deep stacks, GeometryReader, preference chains).
  • Large images without downsampling or resizing.
  • Over-animated hierarchies (implicit animations on large trees).

Summarize findings with evidence from traces/logs.

4. Remediate

Apply targeted fixes:

  • Narrow state scope (@State/@Observable closer to leaf views).
  • Stabilize identities for ForEach and lists.
  • Move heavy work out of body (precompute, cache, @State).
  • Use equatable() or value wrappers for expensive subtrees.
  • Downsample images before rendering.
  • Reduce layout complexity or use fixed sizing where possible.

Common Code Smells (and Fixes)

Look for these patterns during code review.

Expensive formatters in body

var body: some View {
    let number = NumberFormatter() // slow allocation
    let measure = MeasurementFormatter() // slow allocation
    Text(measure.string(from: .init(value: meters, unit: .meters)))
}

Prefer cached formatters in a model or a dedicated helper:

final class DistanceFormatter {
    static let shared = DistanceFormatter()
    let number = NumberFormatter()
    let measure = MeasurementFormatter()
}

Computed properties that do heavy work

var filtered: [Item] {
    items.filter { $0.isEnabled } // runs on every body eval
}

Prefer precompute or cache on change:

@State private var filtered: [Item] = []
// update filtered when inputs change

Sorting/filtering in body or ForEach

// DON'T: sorts or filters on every body evaluation
ForEach(items.sorted(by: sortRule)) { item in Row(item) }
ForEach(items.filter { $0.isEnabled }) { item in Row(item) }

Prefer precomputed, cached collections with stable identity. Update on input change, not in body.

Unstable identity

ForEach(items, id: \.self) { item in
    Row(item)
}

Avoid id: \.self for non-stable values; use a stable ID.

Top-level conditional view swapping

var content: some View {
    if isEditing {
        editingView
    } else {
        readOnlyView
    }
}

Prefer one stable base view and localize conditions to sections/modifiers (for example inside toolbar, row content, overlay, or disabled). This reduces root identity churn and helps SwiftUI diffing stay efficient.

Image decoding on the main thread

Image(uiImage: UIImage(data: data)!)

Prefer decode/downsample off the main thread and store the result.

Broad dependencies in observable models

@Observable class Model {
    var items: [Item] = []
}

var body: some View {
    Row(isFavorite: model.items.contains(item))
}

Prefer granular view models or per-item state to reduce update fan-out.

5. Verify

Ask the user to re-run the same capture and compare with baseline metrics. Summarize the delta (CPU, frame drops, memory peak) if provided.

Outputs

Provide:

  • A short metrics table (before/after if available).
  • Top issues (ordered by impact).
  • Proposed fixes with estimated effort.

Instruments Profiling

SwiftUI Instrument Template

Instruments ships with a dedicated SwiftUI template (available in Xcode 15+ / Instruments 15+). This template provides:

  • SwiftUI View Body instrument -- counts how many times each view's body is evaluated.
  • SwiftUI View Properties instrument -- tracks @State, @Binding, and @Observable property changes that trigger view updates.
  • Time Profiler -- standard CPU profiler for identifying expensive body computations.
  • Hangs instrument -- flags main-thread hangs > 250ms.

Profiling Workflow

  1. Build for Profiling. Product > Profile (Cmd+I) in Xcode. This creates a Release build with profiling symbols.
  2. Select the SwiftUI template. Or create a custom template with SwiftUI + Time Profiler + Hangs.
  3. Record the interaction. Reproduce the exact scroll, navigation, or animation that is slow.
  4. Inspect the SwiftUI lane. Look for views with high body evaluation counts. A view evaluated hundreds of times during a single scroll is likely the bottleneck.
  5. Cross-reference with Time Profiler. If a view body is called often AND takes significant time per call, that is the priority fix.

View Body Evaluation Count

In the SwiftUI instrument lane, each row represents a view type. Key signals:

  • High count, low time per call: Identity or state-invalidation problem (too many re-evaluations).
  • Low count, high time per call: Expensive computation inside body (formatting, sorting, image work).
  • High count AND high time: Both problems -- fix the expensive work first, then fix the invalidation.

Identifying Unnecessary Redraws

Add Self._printChanges() in Debug builds to log exactly which property triggered a view update:

var body: some View {
    #if DEBUG
    let _ = Self._printChanges()  // prints: "MyView: @self, _count changed."
    #endif
    Text("Count: \(count)")
}

Remove _printChanges() before submitting to the App Store -- it is a debug-only API.

Time Profiler for Body Hotspots

When Time Profiler shows significant time in a view's body:

  1. Filter the call tree by the view type name.
  2. Look for allocations (NumberFormatter(), DateFormatter()), collection operations (.sorted(), .filter()), or image decoding.
  3. Move expensive operations to onChange, task, or precomputed @State.

Identity and Lifetime

Structural Identity vs Explicit Identity

SwiftUI assigns every view an identity used to track its lifetime, state, and animations.

  • Structural identity (default): determined by the view's position in the view hierarchy. SwiftUI uses the call-site location in body to distinguish views.
  • Explicit identity: you assign with .id(_:) modifier or ForEach(items, id: \.stableID).
// Structural identity: SwiftUI knows these are different views by position
VStack {
    Text("First")   // position 0
    Text("Second")  // position 1
}

How Identity Tracks View Lifetime

When a view's identity changes, SwiftUI treats it as a new view:

  • All @State is reset.
  • onAppear fires again.
  • Animations may restart.
  • Transition animations play (if defined).

When identity stays the same, SwiftUI updates the existing view in place, preserving state and providing smooth transitions.

AnyView and Identity Reset

AnyView erases type information, forcing SwiftUI to fall back to less efficient diffing:

// DON'T: AnyView destroys type identity
func makeView(for item: Item) -> AnyView {
    if item.isPremium {
        return AnyView(PremiumRow(item: item))
    } else {
        return AnyView(StandardRow(item: item))
how to use swiftui-performance

How to use swiftui-performance on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add swiftui-performance
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/dpearson2699/swift-ios-skills --skill swiftui-performance

The skills CLI fetches swiftui-performance from GitHub repository dpearson2699/swift-ios-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/swiftui-performance

Reload or restart Cursor to activate swiftui-performance. Access the skill through slash commands (e.g., /swiftui-performance) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.674 reviews
  • Chinedu Shah· Dec 28, 2024

    We added swiftui-performance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chinedu Li· Dec 24, 2024

    Registry listing for swiftui-performance matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Dev Thomas· Dec 20, 2024

    Solid pick for teams standardizing on skills: swiftui-performance is focused, and the summary matches what you get after install.

  • Chinedu Zhang· Dec 20, 2024

    swiftui-performance reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Advait Mensah· Dec 20, 2024

    Useful defaults in swiftui-performance — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Pratham Ware· Dec 12, 2024

    I recommend swiftui-performance for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Xiao Harris· Dec 8, 2024

    We added swiftui-performance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Naina Ramirez· Nov 27, 2024

    Keeps context tight: swiftui-performance is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chinedu Reddy· Nov 23, 2024

    swiftui-performance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Naina Flores· Nov 19, 2024

    Keeps context tight: swiftui-performance is the kind of skill you can hand to a new teammate without a long onboarding doc.

showing 1-10 of 74

1 / 8