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web-perf

Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge.

99

1.15x
Quality

100%

Does it follow best practices?

Impact

95%

1.15x

Average score across 3 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is web-perf in cloudflare/skills

SKILL.md
Quality
Evals
Security

Evaluation results

85%

8%

Frontend Bundle Performance Review

Codebase bundle performance analysis

Criteria
Baseline
With context

Webpack detected

100%

100%

Production mode issue

100%

100%

Tree-shaking sideEffects

0%

37%

Wholesale library import

100%

100%

Polyfill useBuiltIns setting

100%

100%

Browserslist too broad

100%

85%

Source maps in production

100%

100%

Compression missing

0%

0%

Specific fix recommendations

100%

100%

Codebase Findings section

37%

100%

Recommendations section

77%

100%

No fabricated network metrics

100%

87%

100%

15%

Network Performance Audit for Pelican Media

Network request analysis and caching review

Criteria
Baseline
With context

Render-blocking CSS identified

25%

100%

Render-blocking JS identified

100%

100%

Zero-impact render-block skipped

0%

100%

Missing caching on static assets

100%

100%

Large payload identified

100%

100%

Unused preconnect identified

100%

100%

Active preconnect preserved

100%

100%

Missing font preload

100%

100%

Specific recommendations

100%

100%

Top Issues prioritized

100%

100%

Impact quantified

100%

100%

Recommendations section present

100%

100%

100%

14%

Performance Audit Report for Hartwell Commerce

Core Web Vitals rating and output format

Criteria
Baseline
With context

CWV summary table

100%

100%

LCP rating correct

100%

100%

FCP rating correct

100%

100%

TBT rating correct

100%

100%

CLS rating correct

100%

100%

TTFB rating correct

0%

100%

Top Issues section

100%

100%

Excellent metrics acknowledged

40%

100%

Specific recommendations

100%

100%

Recommendations section

100%

100%

Impact quantification

100%

100%

No fabricated trace data

100%

100%

Repository
openai/plugins
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.