Performance Profiling

The performance-profiling skill enables AI agents to analyze frontend application efficiency by executing browser DevTools commands. It specifically targets the Chrome Performance API to capture metrics like frame rates, memory usage, and network timing during user interactions.

When to use it

• Diagnosing slow rendering or jank in complex React or Vue applications before production deployment.
• Investigating high CPU or memory spikes triggered by specific user actions or data loads.
• Validating the impact of code optimizations, such as lazy loading or image compression strategies.
• Generating detailed performance reports for client deliverables or internal engineering reviews.

Key capabilities

• Launches Chrome DevTools programmatically to access the Performance tab.
• Captures real-time metrics including FPS (frames per second) and frame timing data.
• Records network requests and their associated latency during profiling sessions.
• Generates downloadable trace files for deep-dive analysis in external tools.

Example prompts

• "Run a performance profile on the current page while I click through the checkout flow, then summarize any bottlenecks found."
• "Capture a memory snapshot every 5 seconds during this video playback test and report total heap usage."
• "Profile the network activity of this dashboard load and list all requests taking longer than 200ms."

Tips & gotchos

Ensure the target application is hosted on a secure connection (HTTPS) to allow DevTools access. Profiling adds overhead, so run tests in incognito mode or with caching disabled to get accurate baseline metrics.