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.
ソース情報
- リポジトリ
- nucliweb/webperf-snippets
- ソースの最終更新活動
- 2026年9月30日 13:35
- 検出された SKILL.md の言語
- 英語
- スター
- 1,449
- フォーク
- 87
インストール方法
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
SKILL.md を表示中
SKILL.md
ソースの指示 · 読み取り専用プレビュー- 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.
- context
- fork
- license
- MIT
- metadata
- {"author":"Joan Leon | @nucliweb","version":"1.3.0","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
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