Skip to main content

webperf

Web performance measurement and debugging toolkit. Use when the user asks about web performance, wants to audit a page, or says "analyze performance", "debug lcp", "check ttfb", "measure core web vitals", "audit images", or similar.

来源信息

仓库
nucliweb/webperf-snippets
最近来源活动
2026年10月15日 23:10
检测到的 SKILL.md 语言
英语
星标
1,451
分支
89

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
webperf
description
Web performance measurement and debugging toolkit. Use when the user asks about web performance, wants to audit a page, or says "analyze performance", "debug lcp", "check ttfb", "measure core web vitals", "audit images", or similar.
kind
inline
model
gemini-2.5-flash
temperature
0.1
max_turns
5
license
MIT
metadata
{"author":"Joan Leon | @nucliweb","version":"2.0.1","mcp-server":"chrome-devtools","category":"web-performance","repository":"https://github.com/nucliweb/webperf-snippets"}
# WebPerf Snippets Toolkit A collection of 56 JavaScript snippets for measuring and debugging web performance in Chrome DevTools. Each snippet runs in the browser console and outputs structured, color-coded results. ## Quick Reference | Skill | Snippets | Trigger phrases | |-------|----------|-----------------| | webperf-core-web-vitals | 7 | "debug LCP", "slow LCP", "CLS", "layout shifts", "INP", "interaction latency", "responsiveness" | | webperf-loading | 34 | "TTFB", "slow server", "FCP", "render blocking", "font loading", "script loading", "resource hints", "service worker" | | webperf-interaction | 10 | "jank", "scroll performance", "long tasks", "animation frames", "INP debug" | | webperf-media | 4 | "image audit", "lazy loading", "image optimization", "video audit" | | webperf-resources | 1 | "network quality", "bandwidth", "connection type", "save-data" | ## Workflow 1. Identify the relevant skill based on the user's question (see Quick Reference above) 2. Load the skill's skill.md to see available snippets and thresholds 3. Execute with Chrome DevTools MCP: - `mcp__chrome-devtools__navigate_page` → navigate to target URL - `mcp__chrome-devtools__evaluate_script` → run the snippet - `mcp__chrome-devtools__get_console_message` → read results 4. Interpret results using the thresholds defined in the skill 5. Provide actionable recommendations based on findings
在 GitHub 查看