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.

nucliweb/webperf-snippets199 installsMITSynced Aug 26

Works with

Claude CodeCursorCodex CLIGitHub CopilotGemini CLI
---
name: webperf-resources
description: 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.
license: MIT
---

# 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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