Peter Steinberger

Swiftui Performance Audit

开发编程v1.0.0
作者:Peter Steinberger更新于 2026-05-11swiftui-performance-audit@clawhub_steipete/swiftui-performance-audit
代码审查Bug 修复#Code Review

据 AlphaMoat 统计,截至 2026-09,Swiftui Performance Audit 累计下载 4,139 次、获 5 个星标,在全部 5,078 个 AI 技能中排名第 2,432 位,在「开发编程」分类(577 个)中排名第 313 位。

累计安装
176
累计下载
4,139
星标
5
全站排名
#2,432
全站前 48% · 「开发编程」前 55%
平台累计安装累计下载星标评论
ClawHub ↗1374,1385-
SkillHub ↗1764,1395—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

主文覆盖渲染缓慢、滚动卡顿、CPU/内存占用、视图重复更新和布局抖动;若代码审查无法定位原因,会指导用户使用 Instruments 采样。结论应区分代码证据与待测假设,并先建立基线再评价优化。

资料发布于 2026-10-27

可以用来做什么

  • 审查视图更新或布局结构
  • 分析卡顿和资源占用的可能原因
  • 准备 Instruments 性能采样步骤

什么时候用

  • 需要诊断 SwiftUI 性能症状时
  • 已有相关代码或可取得可比较的 Instruments 基线时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

审阅这段 SwiftUI 代码,指出可验证的性能风险,并列出需要通过 Instruments 测量的假设。

月度数据趋势

累计下载4,139
2,7793,5104,2402026-03 · 累计下载 2,8802026-05 · 累计下载 3,4072026-06 · 累计下载 3,5752026-07 · 累计下载 3,8372026-08 · 累计下载 3,9962026-09 · 累计下载 4,13926-0326-09
星标5
4552026-03 · 星标 42026-05 · 星标 52026-06 · 星标 52026-07 · 星标 52026-08 · 星标 52026-09 · 星标 526-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,139—5
2026-083,996+4.1%5
2026-073,837+7.3%5
2026-063,575+4.9%5
2026-053,407—5
2026-032,880—4

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

5.4 KB · ClawHub v1.0.0
---
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
展开全部(共 190 行)

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`

```swift
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:

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

### Computed properties that do heavy work

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

Prefer precompute or cache on change:

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

### Sorting/filtering in `body` or `ForEach`

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

Prefer sort once before view updates:

```swift
let sortedItems = items.sorted(by: sortRule)
```

### Inline filtering in `ForEach`

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

Prefer a prefiltered collection with stable identity.

### Unstable identity

```swift
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

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

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

### Broad dependencies in observable models

```swift
@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`

「开发编程」分类下的热门技能

Peter Steinberger 的其他技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。