Axiom Swiftui Performance

The axiom-swiftui-performance skill integrates Axiom observability directly into SwiftUI applications to provide real-time performance insights. It enables developers to track metrics, debug rendering bottlenecks, and analyze user interaction latency within iOS apps without external instrumentation overhead.

When to use it

• Debugging UI lag: Identify specific views or animations causing frame drops in complex SwiftUI interfaces.
• Production monitoring: Continuously stream performance data from live users to detect regressions before they impact the business.
• Optimization validation: Verify that code changes intended to improve rendering speed actually result in measurable gains.
• Memory profiling: Correlate memory spikes with specific user actions or state updates in the UI tree.

Key capabilities

• Real-time telemetry streaming for SwiftUI views and events.
• Automatic correlation of performance metrics with Axiom logs.
• Structured data capture for rendering times and layout calculations.
• Seamless integration requiring no changes to existing SwiftUI code structure.

Example prompts

• "Analyze the last hour of Axiom logs to find which SwiftUI view caused the most frequent frame drops."
• "Summarize performance trends for the checkout flow, highlighting any latency spikes during user interactions."
• "Generate a report comparing rendering times before and after the latest commit to the main branch."

Tips & gotchas

Ensure your Axiom project has appropriate log retention policies configured, as high-frequency SwiftUI event logging can generate significant data volume quickly. This skill is specifically designed for SwiftUI; it will not capture performance metrics from UIKit or other non-SwiftUI components within the same app.