Token导航 LogoToken导航TokenDH.com
研究检索操作浏览器github未标认证来源可访问许可证需确认审计提醒

debug-optimize-lcp调试优化 lcp

Agent Skill

debug-optimize-lcp 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

12,929

周安装

518

GitHub Stars

37,663

下载量

4,185
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:debug-optimize-lcp(调试优化 lcp)
来源仓库:https://github.com/chromedevtools/chrome-devtools-mcp
仓库路径:skills/debug-optimize-lcp
安装命令:
npx skills add https://github.com/chromedevtools/chrome-devtools-mcp --skill debug-optimize-lcp
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/chromedevtools/chrome-devtools-mcp --skill debug-optimize-lcp

简介

针对 Largest Contentful Paint 性能指标提供专项优化与瓶颈定位方案。

  • 适用于网页首屏渲染缓慢影响用户体验与搜索引擎排名的场景。
  • 分解 LCP 为四个连续子阶段分别评估资源加载、布局计算与绘制耗时。
  • 优先检查图片尺寸压缩、字体预加载与关键请求阻塞等高频问题源。
  • debug-optimize-lcp 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

What is LCP and why it matters

Largest Contentful Paint (LCP) measures how quickly a page's main content becomes visible. It's the time from navigation start until the largest image or text block renders in the viewport.

  • Good: 2.5 seconds or less
  • Needs improvement: 2.5–4.0 seconds
  • Poor: greater than 4.0 seconds

LCP is a Core Web Vital that directly affects user experience and search ranking. On 73% of mobile pages, the LCP element is an image.

LCP Subparts Breakdown

Every page's LCP breaks down into four sequential subparts with no gaps or overlaps. Understanding which subpart is the bottleneck is the key to effective optimization.

SubpartIdeal % of LCPWhat it measures
Time to First Byte (TTFB)~40%Navigation start → first byte of HTML received
Resource load delay<10%TTFB → browser starts loading the LCP resource
Resource load duration~40%Time to download the LCP resource
Element render delay<10%LCP resource downloaded → LCP element rendered

The "delay" subparts should be as close to zero as possible. If either delay subpart is large relative to the total LCP, that's the first place to optimize.

Common Pitfall: Optimizing one subpart (like compressing an image to reduce load duration) without checking others. If render delay is the real bottleneck, a smaller image won't help — the saved time just shifts to render delay.

Debugging Workflow

Follow these steps in order. Each step builds on the previous one.

Step 1: Record a Performance Trace

Navigate to the page, then record a trace with reload to capture the full page load including LCP:

  1. navigate_page to the target URL.
  2. performance_start_trace with reload: true and autoStop: true.

The trace results will include LCP timing and available insight sets. Note the insight set IDs from the output — you'll need them in the next step.

Step 2: Analyze LCP Insights

Use performance_analyze_insight to drill into LCP-specific insights. Look for these insight names in the trace results:

  • LCPBreakdown — Shows the four LCP subparts with timing for each.
  • DocumentLatency — Server response time issues affecting TTFB.
  • RenderBlocking — Resources blocking the LCP element from rendering.
  • LCPDiscovery — Whether the LCP resource was discoverable early.

Call performance_analyze_insight with the insight set ID and the insight name from the trace results.

Step 3: Identify the LCP Element

Use evaluate_script with the "Identify LCP Element" snippet found in references/lcp-snippets.md to reveal the LCP element's tag, resource URL, and raw timing data.

The url field tells you what resource to look for in the network waterfall. If url is empty, the LCP element is text-based (no resource to load).

Step 4: Check the Network Waterfall

Use list_network_requests to see when the LCP resource loaded relative to other resources:

  • Call list_network_requests filtered by resourceTypes: ["Image", "Font"] (adjust based on Step 3).
  • Then use get_network_request with the LCP resource's request ID for full details.

Key Checks:

  • Start Time: Compare against the HTML document and the first resource. If the LCP resource starts much later than the first resource, there's resource load delay to eliminate.
  • Duration: A large resource load duration suggests the file is too big or the server is slow.

Step 5: Inspect HTML for Common Issues

Use evaluate_script with the "Audit Common Issues" snippet found in references/lcp-snippets.md to check for lazy-loaded images in the viewport, missing fetchpriority, and render-blocking scripts.

Optimization Strategies

After identifying the bottleneck subpart, apply these prioritized fixes.

1. Eliminate Resource Load Delay (target: <10%)

The most common bottleneck. The LCP resource should start loading immediately.

  • Root Cause: LCP image loaded via JS/CSS, data-src usage, or loading="lazy".
  • Fix: Use standard <img> with src. Never lazy-load the LCP image.
  • Fix: Add <link rel="preload" fetchpriority="high"> if the image isn't discoverable in HTML.
  • Fix: Add fetchpriority="high" to the LCP <img> tag.

2. Eliminate Element Render Delay (target: <10%)

The element should render immediately after loading.

  • Root Cause: Large stylesheets, synchronous scripts in <head>, or main thread blocking.
  • Fix: Inline critical CSS, defer non-critical CSS/JS.
  • Fix: Break up long tasks blocking the main thread.
  • Fix: Use Server-Side Rendering (SSR) so the element exists in initial HTML.

3. Reduce Resource Load Duration (target: ~40%)

Make the resource smaller or faster to deliver.

  • Fix: Use modern formats (WebP, AVIF) and responsive images (srcset).
  • Fix: Serve from a CDN.
  • Fix: Set Cache-Control headers.
  • Fix: Use font-display: swap if LCP is text blocked by a web font.

4. Reduce TTFB (target: ~40%)

The HTML document itself takes too long to arrive.

  • Fix: Minimize redirects and optimize server response time.
  • Fix: Cache HTML at the edge (CDN).
  • Fix: Ensure pages are eligible for back/forward cache (bfcache).

Verifying Fixes & Emulation

  • Verification: Re-run the trace (performance_start_trace with reload: true) and compare the new subpart breakdown. The bottleneck should shrink.
  • Emulation: Lab measurements differ from real-world experience. Use emulate to test under constraints:

- emulate with networkConditions: "Fast 3G" and cpuThrottlingRate: 4. - This surfaces issues visible only on slower connections/devices.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.2%
按下载量换算1,515

Claude

31.83%
按下载量换算1,332

Cursor

19.14%
按下载量换算801

Gemini CLI

9.5%
按下载量换算398

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills