skills/webperf-resources/SKILL.md
Intelligent network quality analysis with adaptive loading strategies. Detects connection type (2g/3g/4g), bandwidth, RTT, and save-data mode, then automatically triggers appropriate optimization workflows. Includes decision trees that recommend image compression for slow connections, critical CSS inlining for high RTT, and save-data optimizations (disable autoplay, reduce quality). Features connection-aware performance budgets (500KB for 2g, 1.5MB for 3g, 3MB for 4g+) and adaptive loading implementation guides. Cross-skill integration with Loading (TTFB impact), Media (responsive images), and Core Web Vitals (connection impact on LCP/INP). Use when the user asks about slow connections, mobile optimization, save-data support, or adaptive loading strategies. Compatible with Chrome DevTools MCP.
npx skillsauth add nucliweb/webperf-snippets webperf-resourcesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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JavaScript snippets for measuring web performance in Chrome DevTools. Execute with mcp__chrome-devtools__evaluate_script, capture output with mcp__chrome-devtools__get_console_message.
scripts/Network-Bandwidth-Connection-Quality.js — Network Bandwidth & Connection QualityWhen the user asks about network performance, connection quality, or adaptive loading:
When implementing adaptive loading or the user asks "how to optimize for slow connections":
When the user asks about save-data or data-saving features:
When the user asks "optimize for mobile" or "slow connection users":
Use this decision tree to automatically run follow-up snippets based on results:
If effectiveType is "slow-2g" or "2g" → Very slow connection, recommend:
If effectiveType is "3g" → Moderate connection, recommend:
If effectiveType is "4g" or better → Good connection, recommend:
If save-data is enabled → User explicitly wants to save data, recommend:
If RTT > 300ms → High latency, recommend:
If downlink < 1 Mbps → Very limited bandwidth, recommend:
If downlink > 10 Mbps → Good bandwidth, consider:
Based on Network Information API results, implement these strategies:
For slow-2g / 2g (< 50 Kbps): (effectiveType: "slow-2g" or "2g")
For 3g (50-700 Kbps): (effectiveType: "3g")
For 4g+ (> 700 Kbps): (effectiveType: "4g")
For save-data mode: (navigator.connection.saveData === true)
Adjust performance budgets based on connection quality:
slow-2g / 2g:
3g:
4g+:
Be aware of API limitations and fallbacks:
API not available:
API values are estimates:
Privacy considerations:
references/snippets.md — Descriptions and thresholds for each scriptreferences/schema.md — Return value schema for interpreting script outputtools
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.
tools
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 impact) and Loading (priority hints, resource preloading). Provides performance budgets and format recommendations based on content type. Use when the user asks about image optimization, LCP is an image/video, layout shifts from media, or media loading strategy. Compatible with Chrome DevTools MCP.
tools
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.
tools
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 correlation) and Loading (script execution analysis). Use when the user asks about slow interactions, janky scrolling, unresponsive pages, or INP optimization. Compatible with Chrome DevTools MCP.