菜单
Analyze web page performance using Web Vitals and network timing metrics. Use when optimizing load times, checking Core Web Vitals, or investigating slow pages.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Automated browser testing and debugging using Browser DevTools MCP. Use when testing web pages, debugging frontend issues, verifying UI behavior, or automating browser interactions.
Use when the user wants to run JavaScript in the browser, run code in Node, or batch multiple MCP tool calls. Run script, execute code, batch tools.
Debug Node.js backend processes using non-blocking tracepoints, logpoints, exceptionpoints, and JavaScript execution. Use when debugging API servers, workers, or backend scripts.
Debug web applications by inspecting console logs, network requests, JavaScript errors, and using non-blocking tracepoints/logpoints. Use when debugging web pages, inspecting API calls, or tracing code execution.
Monitor and debug web applications using OpenTelemetry, console logs, network requests, and distributed tracing. Use when correlating frontend and backend requests or debugging request flow across services.
Perform visual testing and UI verification using screenshots and DOM inspection. Use when verifying UI appearance, comparing with designs, or checking for visual regressions.
| name | performance-audit |
| description | Analyze web page performance using Web Vitals and network timing metrics. Use when optimizing load times, checking Core Web Vitals, or investigating slow pages. |
Analyze web page performance using Web Vitals and network timing metrics.
This skill activates when:
o11y_get-web-vitals)
o11y_get-http-requests)| Metric | Good | Needs Work | Poor |
|---|---|---|---|
| LCP | ≤2.5s | 2.5-4s | >4s |
| INP | ≤200ms | 200-500ms | >500ms |
| CLS | ≤0.1 | 0.1-0.25 | >0.25 |
| TTFB | ≤800ms | 800-1800ms | >1800ms |