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web-performance SKILL.md skillA

web-performance from yuecao365/offercome is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add yuecao365/offercome/web-performance@git:20260920.a4843f5

Pins git:20260920.a4843f5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
yuecao365/offercome
Path
src/lib/mock-interviews/skills/web-performance/SKILL.md
Versions recorded
1
Latest version
git:20260920.a4843f5, committed Sep 20, 2026
Size
6,755 bytes
Repository stars
24
License
MIT

前端性能深挖：指标与监控、渲染策略、资源加载与缓存、长任务与 INP、视觉稳定、WebView。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

## 面试官在意什么

性能是前端面试里最容易验真假的一段：候选人说"优化了首屏"，面试官追指标名、测量工具、样本、前后数字、最大的一项改动。2026 年的指标口径是 LCP、INP、CLS 三项，INP 取代 FID 后"长任务与交互延迟"成了新的追问点；渲染策略上服务端组件与流式渲染让"SSR 还是 CSR"变成按页面、按组件做决定。这本包把这些拆成可追问的阶梯。

## 项目 / 实习怎么深挖

简历上出现下面这类经历时从哪里切、追什么。追到候选人能说出机制、数字的来源与一次真实的故障或取舍才算实；只有框架名与结论、说不出自己那一段的，记为危险信号。通用的追问方法见 project-deep-dive。

- 简历出现"首屏优化 X%" → 追指标名（LCP 还是 FCP）、测量工具与样本、最大的一项改动、有没有回归
- 简历出现"打包体积减少 X%" → 追分析工具、砍掉的最大头、拆包粒度、上线后加载瀑布有没有变差
- 简历出现 SSR / Next.js / Nuxt → 追哪些页面 SSR 哪些 CSR、hydration 报过什么错、TTFB 与服务端成本
- 简历出现前端监控 → 追采集哪些指标、采样率、source map 还原、SDK 开销、发现过什么问题
- 简历出现卡顿 / 交互延迟优化 → 追长任务从哪来、怎么拆、INP 前后数字
- 简历出现 H5 / WebView → 追兼容问题的定位手段、低端机数据、离线包机制

## 常见失守与危险信号

- 性能指标与线上监控：只知道 Lighthouse 跑分；不知道 INP 取代了什么；上报没有采样也没有合并
- 渲染策略：认为 SSR 一定更快；不知道 hydration 错误怎么来的；所有页面一个模式
- 资源加载与缓存：认为"加时间戳参数"是缓存治理；不知道 HTML 不能强缓存的原因；拆包只会 splitChunks
- 长任务与交互延迟：把"加防抖"当所有卡顿的解药；不知道微任务会阻塞渲染
- CSS 与视觉稳定：说不出 transform 动画为什么便宜；will-change 到处加；不知道 CLS 从哪来
- 图片与字体：图片不设尺寸；字体切换导致闪烁不知道 font-display
- 跨端与 WebView：把所有问题归结为"兼容性"而不做定位；不知道 JSBridge 的通信方式
- 性能预算与回归：没有性能预算；优化一次就不管了

## 常考主题清单

只列名字、阶梯与答实的标志，作"问到哪一层算实"的参考；问哪些、问几道由这份 JD 与这份简历定，不是配额。

### 性能度量与线上监控
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yuecao365/offercome/web-performance@sha256:32c46e7eb775b829

The line at the top of this page pins the label git:20260920.a4843f5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_xcizzdgdq5udwqne.svg)](https://markdownregistry.com/a/art_xcizzdgdq5udwqne)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 20, 2026.

versioncommittedcommitsizeaudit
git:20260920.a4843f5 latest2026-09-20 a4843f5 6,755 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6755 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

yuecao365/offercome · 24 stars · license MIT · pushed 2026-10-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xcizzdgdq5udwqne
GET https://markdownregistry.com/api/v1/resolve?ref=yuecao365/offercome/web-performance
GET https://markdownregistry.com/api/v1/blob/32c46e7eb775b829cd8171ea479146cdd5defa561867c765c8a70935909d7305

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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