據 AlphaMoat 統計,截至 2026-09,Swiftui Performance Audit 累計下載 4,139 次、獲 5 個星標,在全部 5,078 個 AI 技能中排名第 2,432 位,在「開發程式設計」分類(577 個)中排名第 313 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 137 | 4138 | 5 | - |
| SkillHub ↗ | 176 | 4139 | 5 | — |
各平台的計數口徑不同,統計時間不一致。
主文覆蓋渲染緩慢、滾動卡頓、CPU/記憶體佔用、檢視重複更新和佈局抖動;若程式碼審查無法定位原因,會指導使用者使用 Instruments 取樣。結論應區分程式碼證據與待測假設,並先建立基線再評價最佳化。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4139 | — | 5 |
| 2026-08 | 3996 | +4.1% | 5 |
| 2026-07 | 3837 | +7.3% | 5 |
| 2026-06 | 3575 | +4.9% | 5 |
| 2026-05 | 3407 | — | 5 |
| 2026-03 | 2880 | — | 4 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- 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`
```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`
用 gh 命令列工具檢視 GitHub 上的 PR 檢查、工作流執行與 API 查詢的技能。
聚合 16 個搜尋引擎、無需 API Key 的檢索技能。
用命令列直接列出、配置、授權並呼叫 MCP 服務與工具。
生成有效的 Mermaid 圖表,如流程圖、時序圖、思維導圖、ER 圖、使用者旅程等。
用受管 OAuth 訪問 YouTube Data API,檢索影片並管理頻道內容。
透過受管的 OAuth 連線訪問 GitHub REST API。
覆蓋規劃、實現、驗證與測試的編碼工作流技能。
整理 Docker 常用命令與容器工作流的技能。
用 gh 命令列工具檢視 GitHub 上的 PR 檢查、工作流執行與 API 查詢的技能。
用 curl 直接查詢公開天氣服務,取得目前天氣與預報。
透過命令列存取 Gmail、日曆、Drive、Contacts、Sheets 與 Docs。
用 Nano Banana Pro 生成或編輯圖片的指令碼技能。
用自然語言指令改 PDF 指定頁的小工具。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。