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Webperf Resources Agent Skill

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.

2.3k tokens
context cost
SKILL.md, read when the skill is used
4
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
1 454
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nucliweb/webperf-snippets --skill webperf-resources

What comes with it

50 500 bytes besides the instruction
references/schema.md
references/snippets.md
scripts/Network-Bandwidth-Connection-Quality.js

The instruction itself

14 sections, as written by the author

WebPerf: Resources & Network

JavaScript snippets for measuring web performance in Chrome DevTools.

Running a script

  • 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.
  • 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.
  • 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:

  • 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":

  • Network-Bandwidth-Connection-Quality.js - Detect connection quality
  • 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)
  • 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:

  • Network-Bandwidth-Connection-Quality.js - Check if save-data is enabled
  • 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":

  • Network-Bandwidth-Connection-Quality.js - Assess connection type
  • 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:
  • Run webperf-loading:Critical-CSS-Detection.js (inline critical CSS)
  • Run webperf-media:Image-Element-Audit.js (implement aggressive lazy loading)
  • Run webperf-loading:Prefetch-Resource-Validation.js (remove prefetch to save bandwidth)
  • Run webperf-core-web-vitals:LCP.js (LCP is heavily impacted by slow connections)
  • Recommend minimal resource strategy
  • If effectiveType is "3g" → Moderate connection, recommend:
  • Run webperf-loading:Find-render-blocking-resources.js (minimize blocking)
  • Run webperf-media:Image-Element-Audit.js (responsive images)
  • Run webperf-loading:Resource-Hints-Validation.js (optimize preconnect)
  • Run webperf-core-web-vitals:INP.js (high latency can impact interaction responsiveness)
  • Implement adaptive image quality
  • If effectiveType is "4g" or better → Good connection, recommend:
  • Standard optimization practices
  • Consider strategic prefetch for navigation
  • Higher quality media is acceptable
  • If save-data is enabled → User explicitly wants to save data, recommend:
  • Reduce image quality aggressively
  • Disable autoplay videos
  • Defer non-critical resources
  • Remove prefetch/preload hints
  • Show "high quality" toggle option
  • If RTT > 300ms → High latency, recommend:
  • Run webperf-loading:TTFB.js (latency impacts TTFB)
  • Run webperf-loading:TTFB-Sub-Parts.js (break down latency components)
  • Run webperf-loading:Resource-Hints-Validation.js (preconnect critical for high RTT)
  • Run webperf-loading:Service-Worker-Analysis.js (caching is critical for high latency)
  • Minimize number of origins
  • Use HTTP/2 or HTTP/3 for multiplexing
  • If downlink < 1 Mbps → Very limited bandwidth, recommend:
  • Run webperf-media:Image-Element-Audit.js (aggressive compression)
  • Run webperf-media:Video-Element-Audit.js (disable autoplay)
  • Run webperf-loading:Prefetch-Resource-Validation.js (remove prefetch)
  • 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

How to use it

Copy the folder

Take nucliweb/webperf-resources from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npm, npx. Without those the skill loads but fails at the first command.