perf

📁 october-academy/agent-plugins 📅 Today

总安装量

周安装量

安装命令

npx skills add https://github.com/october-academy/agent-plugins --skill perf

Agent 安装分布

codex 1

claude-code 1

Skill 文档

Performance Measurement Skill

Quick Lighthouse audit for web applications.

Usage

Commands

/perf                      # Audit current/main page
/perf /about               # Audit specific path
/perf https://example.com  # Audit full URL
/perf --all                # Audit all key pages

Korean Triggers

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Workflow

1. Identify Target URLs

If --all or batch mode:

Scan for key pages:

Homepage (/)
Main feature pages
High-traffic routes

2. Run Lighthouse

For each URL, invoke web-perf-ux skill or run directly:

lighthouse <url> --output=json --chrome-flags="--headless"

3. Collect Metrics

Focus on Core Web Vitals:

Metric	Good	Needs Work	Poor
LCP (Largest Contentful Paint)	<2.5s	2.5-4.0s	>4.0s
CLS (Cumulative Layout Shift)	<0.1	0.1-0.25	>0.25
INP (Interaction to Next Paint)	<200ms	200-500ms	>500ms

Additional metrics:

FCP (First Contentful Paint)
TTFB (Time to First Byte)
Total Blocking Time
Speed Index

4. Generate Report

Summary format:

Performance Report
==================
/ (Homepage)
  LCP: 1.8s    CLS: 0.05   INP: 120ms   Score: 92

/dashboard
  LCP: 3.2s    CLS: 0.08   INP: 180ms   Score: 74
  Issues: LCP needs improvement

/products
  LCP: 2.1s    CLS: 0.02   INP: 95ms    Score: 89

Top Issues:
1. /dashboard - Large images not optimized
2. /dashboard - Render-blocking JavaScript

Common Optimizations

Based on results, suggest:

Issue	Solution
High LCP	Optimize images, preload critical assets
High CLS	Set image dimensions, avoid dynamic content insertion
High INP	Reduce JavaScript, use code splitting
High TTFB	Check server response, use CDN

Integration

This skill works best with web-perf-ux plugin for detailed analysis.

# For detailed analysis
/web-perf-ux https://example.com

# For quick check
/perf https://example.com

Batch Mode

When running --all:

Discover routes from sitemap or router config
Queue pages for measurement
Run sequentially (avoid overwhelming server)
Aggregate results into single report

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