swiftui-performance-audit
The swiftui-performance-audit skill provides a structured workflow for diagnosing and remediating SwiftUI performance issues. It guides users through code-first reviews using predefined smell catalogs and assists in collecting runtime evidence via Instruments profiling.
Is swiftui-performance-audit safe to install?
Safe to install: our audit of swiftui-performance-audit's source files found 0 shell commands, 0 external URLs, file reads and writes (low risk). Every command and URL listed appears verbatim in the skill's source. The skill reads local reference files to provide guidance and templates. It does not execute shell commands or make network requests.
How we audit skills: our security review methodology.
Who is this skill for?
iOS developers and engineers troubleshooting SwiftUI performance issues such as janky scrolling, high CPU usage, memory growth, and layout thrash.
What can you do with it?
- Diagnosing slow rendering and frame drops in SwiftUI views.
- Identifying excessive view updates caused by broad state observation.
- Reviewing code for layout thrash and heavy main-thread work.
- Guiding users through the collection of Instruments profiling data.
- Structuring performance audit reports with remediation steps.
How good is this skill?
Quality score: 5/10. The skill provides a clear, actionable methodology for performance auditing. It relies on internal reference files for consistency and follows a logical diagnostic flow.
What does the skill file contain?
# SwiftUI Performance Audit ## Quick start Use this skill to diagnose SwiftUI performance issues from code first, then request profiling evidence when code review alone cannot explain the symptoms. ## Workflow 1. Classify the symptom: slow rendering, janky scrolling, high CPU, memory growth, hangs, or excessive view updates. 2. If code is available, start with a code-first review using `references/code-smells.md`. 3. If code is not available, ask for the smallest useful slice: target view, data flow, reproduction steps, and deployment target. 4. If code review is inconclusive or runtime ev...
Frequently asked questions
Does this skill automatically profile my app?
No. The skill guides the user through the profiling process using a checklist and requests that the user provide trace exports or screenshots for analysis.
What information should I provide for a code review?
Provide the target view or feature code, reproduction steps, data flow details including state and environment dependencies, and the deployment target.
How does the skill suggest fixes?
The skill uses a catalog of common code smells to identify issues like invalidation storms or unstable identities and suggests refactors such as narrowing state scope or moving heavy work out of the view body.
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