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Swiftui Performance Audit

by @steipete

Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.

Versionv1.0.0
Downloads3,414
Installs12
Stars⭐ 5
TERMINAL
clawhub install swiftui-performance-audit

πŸ“– About This Skill


name: swiftui-performance-audit description: Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.

SwiftUI Performance Audit

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

Overview

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

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).
  • 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 (Release build).
  • 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).
  • 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

    List {
        ForEach(items.sorted(by: sortRule)) { item in
            Row(item)
        }
    }
    

    Prefer sort once before view updates:

    let sortedItems = items.sorted(by: sortRule)
    

    Inline filtering in ForEach

    ForEach(items.filter { $0.isEnabled }) { item in
        Row(item)
    }
    

    Prefer a prefiltered collection with stable identity.

    Unstable identity

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

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

    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.
  • References

    Add Apple documentation and WWDC resources under references/ as they are supplied by the user.

  • Optimizing SwiftUI performance with Instruments: references/optimizing-swiftui-performance-instruments.md
  • Understanding and improving SwiftUI performance: references/understanding-improving-swiftui-performance.md
  • Understanding hangs in your app: references/understanding-hangs-in-your-app.md
  • Demystify SwiftUI performance (WWDC23): references/demystify-swiftui-performance-wwdc23.md