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webperf-resources

webperf-resources

github.com/nucliwebDevelopment1.5k244 installsUpdated today
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About webperf-resources

webperf-resources is a skill for assessing network conditions with a JavaScript snippet in Chrome DevTools. It guides developers in evaluating connection quality and planning adaptive loading, and can also run through a CLI in headless Chromium.

Key features

  1. 01Network bandwidth and quality assessment
  2. 02Effective connection type and RTT checks
  3. 03Downlink and save-data detection
  4. 04Adaptive loading workflow guidance

Use cases

  1. 01Assess a page’s connection conditions
  2. 02Plan loading for slow connections
  3. 03Check whether save-data mode is enabled

MCP support

The snippet can run through Chrome DevTools MCP using `mcp__chrome-devtools__evaluate_script`. The skill also describes running it with the webperf-snippets CLI without Chrome DevTools MCP.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nucliweb/webperf-snippets --skill webperf-resources

After installing, type/webperf-resourcesin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
schema.md
snippets.md
scripts/
Network-Bandwidth-Connection-Quality.js

Details

From the project README

WebPerf: Resources & Network

JavaScript snippets for measuring web performance in Chrome DevTools.

Running a script

  1. Run the script with mcp__chrome-devtools__evaluate_script and read the object it returns. The scripts have no console output, so the returned object is the result: script, status and the metric data (value, rating, details, items, issues), as described in references/schema.md.
  2. When status is "tracking", the script keeps observing the page. After the interactions, call the function named in getDataFn with another mcp__chrome-devtools__evaluate_script call, for example getINP(), and read the object it returns.
  3. When status is "error" or "unsupported", read error: the page may not have loaded yet, or the browser lacks the API.

Without Chrome DevTools MCP, run the same snippet with the webperf-snippets CLI, which loads the page in headless Chromium and prints the same result objects: npx webperf-snippets <url> --snippet <Name> --json, where <Name> is the script name without .js. It needs Playwright and Chromium (npm install --save-dev webperf-snippets playwright, then npx playwright install chromium), and tracking snippets take --interact-script <file> to drive the interactions.

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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