webperf-resources
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.
Best use case
webperf-resources is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using webperf-resources should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/webperf-resources/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How webperf-resources Compares
| Feature / Agent | webperf-resources | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# WebPerf: Resources & Network 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 - `scripts/Network-Bandwidth-Connection-Quality.js` — Network Bandwidth & Connection Quality ## Common Workflows ### Network Quality Assessment When the user asks about network performance, connection quality, or adaptive loading: 1. **Network-Bandwidth-Connection-Quality.js** - Analyze network bandwidth, effective connection type, RTT, downlink, save-data mode ### Adaptive Loading Strategy When implementing adaptive loading or the user asks "how to optimize for slow connections": 1. **Network-Bandwidth-Connection-Quality.js** - Detect connection quality 2. Cross-reference with **webperf-loading** skill: - TTFB.js (measure server response on slow connections) - Find-render-blocking-resources.js (identify heavy resources to defer) - Resource-Hints-Validation.js (optimize preconnect for slow networks) 3. Cross-reference with **webperf-media** skill: - Image-Element-Audit.js (implement responsive images based on connection) - Video-Element-Audit.js (adjust video quality based on connection) ### Save-Data Mode Detection When the user asks about save-data or data-saving features: 1. **Network-Bandwidth-Connection-Quality.js** - Check if save-data is enabled 2. If save-data is enabled, recommend: - Reducing image quality - Disabling autoplay videos - Deferring non-critical resources - Using low-res thumbnails ### Mobile/Slow Connection Optimization When the user asks "optimize for mobile" or "slow connection users": 1. **Network-Bandwidth-Connection-Quality.js** - Assess connection type 2. Cross-reference with **webperf-loading** skill: - TTFB.js (critical for slow connections) - Find-render-blocking-resources.js (minimize blocking on slow networks) - Critical-CSS-Detection.js (inline critical CSS to reduce RTT) - Prefetch-Resource-Validation.js (avoid excessive prefetch on slow connections) ## Decision Tree Use this decision tree to automatically run follow-up snippets based on results: ### After Network-Bandwidth-Connection-Quality.js - **If effectiveType is "slow-2g" or "2g"** → Very slow connection, recommend: 1. Run **webperf-loading:Critical-CSS-Detection.js** (inline critical CSS) 2. Run **webperf-media:Image-Element-Audit.js** (implement aggressive lazy loading) 3. Run **webperf-loading:Prefetch-Resource-Validation.js** (remove prefetch to save bandwidth) 4. Run **webperf-core-web-vitals:LCP.js** (LCP is heavily impacted by slow connections) 5. Recommend minimal resource strategy - **If effectiveType is "3g"** → Moderate connection, recommend: 1. Run **webperf-loading:Find-render-blocking-resources.js** (minimize blocking) 2. Run **webperf-media:Image-Element-Audit.js** (responsive images) 3. Run **webperf-loading:Resource-Hints-Validation.js** (optimize preconnect) 4. Run **webperf-core-web-vitals:INP.js** (high latency can impact interaction responsiveness) 5. Implement adaptive image quality - **If effectiveType is "4g" or better** → Good connection, recommend: 1. Standard optimization practices 2. Consider strategic prefetch for navigation 3. Higher quality media is acceptable - **If save-data is enabled** → User explicitly wants to save data, recommend: 1. Reduce image quality aggressively 2. Disable autoplay videos 3. Defer non-critical resources 4. Remove prefetch/preload hints 5. Show "high quality" toggle option - **If RTT > 300ms** → High latency, recommend: 1. Run **webperf-loading:TTFB.js** (latency impacts TTFB) 2. Run **webperf-loading:TTFB-Sub-Parts.js** (break down latency components) 3. Run **webperf-loading:Resource-Hints-Validation.js** (preconnect critical for high RTT) 4. Run **webperf-loading:Service-Worker-Analysis.js** (caching is critical for high latency) 5. Minimize number of origins 6. Use HTTP/2 or HTTP/3 for multiplexing - **If downlink < 1 Mbps** → Very limited bandwidth, recommend: 1. Run **webperf-media:Image-Element-Audit.js** (aggressive compression) 2. Run **webperf-media:Video-Element-Audit.js** (disable autoplay) 3. Run **webperf-loading:Prefetch-Resource-Validation.js** (remove prefetch) 4. Implement bandwidth-aware loading - **If downlink > 10 Mbps** → Good bandwidth, consider: - Higher quality media - Strategic prefetch - Preloading next-page resources ### Adaptive Loading Implementation Guide Based on Network Information API results, implement these strategies: **For slow-2g / 2g (< 50 Kbps):** (`effectiveType: "slow-2g"` or `"2g"`) - Serve low-res images (quality: 30-40) - Disable autoplay videos - Remove all prefetch hints - Inline all critical CSS - Defer all non-critical JavaScript - Use system fonts (no webfonts) - Aggressive lazy loading (load on scroll + buffer) **For 3g (50-700 Kbps):** (`effectiveType: "3g"`) - Serve medium-res images (quality: 60-70) - Disable autoplay videos - Limited prefetch (critical only) - Inline critical CSS only - Defer non-critical JavaScript - Preload 1-2 critical fonts - Standard lazy loading **For 4g+ (> 700 Kbps):** (`effectiveType: "4g"`) - Serve high-res images (quality: 80-90) - Allow autoplay videos (muted) - Strategic prefetch for navigation - Standard CSS loading and JavaScript loading - Preload critical fonts - Standard lazy loading **For save-data mode:** (`navigator.connection.saveData === true`) - Override connection type, treat as worse than actual - Show "Load high quality" toggle - Disable autoplay entirely - Minimal images, minimal quality - No prefetch, no preload (except critical) ### Performance Budget by Connection Type Adjust performance budgets based on connection quality: **slow-2g / 2g:** - Total page weight: < 500KB - Images: < 200KB total - JavaScript: < 100KB total - No videos **3g:** - Total page weight: < 1.5MB - Images: < 800KB total - JavaScript: < 300KB total - Videos: < 3MB (only if critical) **4g+:** - Total page weight: < 3MB - Images: < 2MB total - JavaScript: < 1MB total - Videos: < 10MB ### Network Information API Limitations Be aware of API limitations and fallbacks: **API not available:** - Safari does not support Network Information API - Fallback: Use TTFB as proxy for connection quality - Fallback: Device detection (mobile = assume slow) - Fallback: User preference toggle **API values are estimates:** - effectiveType is based on recent observations - Values can change during session - Re-check periodically for long sessions **Privacy considerations:** - Some browsers limit precision for privacy - Values may be rounded or capped - Consider user privacy when making decisions ## References - `references/snippets.md` — Descriptions and thresholds for each script - `references/schema.md` — Return value schema for interpreting script output
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