nucliweb/webperf-snippets

webperf

Web performance measurement and debugging toolkit.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/nucliweb/webperf-snippets --skill webperf

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

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

SkillSnippetsTrigger phrases
webperf-core-web-vitals7"debug LCP", "slow LCP", "CLS", "layout shifts", "INP", "interaction latency", "responsiveness"
webperf-loading34"TTFB", "slow server", "FCP", "render blocking", "font loading", "script loading", "resource hints", "service worker"
webperf-interaction10"jank", "scroll performance", "long tasks", "animation frames", "INP debug"
webperf-media4"image audit", "lazy loading", "image optimization", "video audit"
webperf-resources1"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
  1. Interpret results using the thresholds defined in the skill
  2. Provide actionable recommendations based on findings

Verwandte Aufgaben

aus demselben Repository

Weitere Skills

Alle Skills
nucliweb
Community

webperf-core-web-vitals

Intelligent Core Web Vitals analysis with automated workflows and decision trees. Measures LCP, CLS, INP with guided debugging that automatically determines follow-up analysis based on results. Includes workflows for LCP deep dive (5 phases), CLS investigation (loading vs interaction), INP debugging (latency breakdown + attribution), and cross-skill integration with loading, interaction, and media skills. Use when the user asks about Core Web Vitals, LCP optimization, layout shifts, or interacti

Installationen
1
GitHub Stars
1449
Aktualisiert
13. Okt.
nucliweb
Community

webperf-interaction

Intelligent interaction performance analysis with automated workflows for INP debugging, scroll jank investigation, and main thread blocking. Includes decision trees that automatically run script attribution when long frames detected, break down input latency phases, and correlate layout shifts with interactions. Features workflows for complete interaction audit, third-party script impact analysis, and animation performance debugging. Cross-skill integration with Core Web Vitals (INP/CLS correla

Installationen
1
GitHub Stars
1449
Aktualisiert
13. Okt.
nucliweb
Community

webperf-media

Intelligent media optimization with automated workflows for images, videos, and SVGs. Includes decision trees that detect LCP images (triggers format/lazy-loading/priority analysis), identify layout shift risks (missing dimensions), and flag lazy loading issues (above-fold lazy or below-fold eager). Features workflows for complete media audit, LCP image investigation, video performance (poster optimization), and SVG embedded bitmap detection. Cross-skill integration with Core Web Vitals (LCP/CLS

Installationen
1
GitHub Stars
1449
Aktualisiert
13. Okt.