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seo-analyticsSEO 分析

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

1,077

周安装

44

GitHub Stars

4

下载量

345
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:seo-analytics(SEO 分析)
来源仓库:https://github.com/eng0ai/eng0-template-skills
仓库路径:skills/seo-analytics
安装命令:
npx skills add https://github.com/eng0ai/eng0-template-skills --skill seo-analytics
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/eng0ai/eng0-template-skills --skill seo-analytics

简介

seo-analytics 用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备,适合清洗字段、汇总数据或发现异常。

  • 它能帮助 Agent 生成统计口径或将分析结果转成可读说明。
  • 使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实。
  • 涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

SEO Analytics Skill

Generate comprehensive SEO and performance analysis reports for any website using Google PageSpeed Insights API.

When to Use

  • "Analyze the SEO of https://example.com"
  • "Check the performance of my website"
  • "Generate a Core Web Vitals report for..."
  • "What's the page speed score of..."
  • "SEO audit for..."

API Key Requirement

IMPORTANT: This skill requires a Google PageSpeed Insights API key. If the user has not provided an API key, you MUST ask for one before proceeding.

When No API Key is Provided

If the user requests SEO analysis without providing an API key, respond with:


To run SEO analysis, I need a Google PageSpeed Insights API key.

How to get your API key (takes ~2 minutes):

  1. Go to Google Cloud Console
  2. Create a new project or select an existing one
  3. Navigate to APIs & Services > Library
  4. Search for "PageSpeed Insights API" and click Enable
  5. Go to APIs & Services > Credentials
  6. Click Create Credentials > API Key
  7. Copy your new API key

Once you have the key, provide it and I'll run the analysis.


API Key Usage

The API key can be provided in two ways:

  1. As a command line argument: npx ts-node analyze.ts <URL> <API_KEY>
  2. As an environment variable: PAGESPEED_API_KEY

Quick Start

User: "Analyze https://eng0.ai"

# If no API key provided, ask user for one first

# With API key:
Output:
- ./seo-report.html (interactive report with charts)
- Console summary with key metrics

How to Execute

Step 1: Run the Analysis Script

npx ts-node analyze.ts https://example.com YOUR_API_KEY

Or with environment variable:

PAGESPEED_API_KEY=your_key npx ts-node analyze.ts https://example.com

Step 2: Inline Execution (Alternative)

Create and run analyze.ts in the current directory:

// analyze.ts - SEO Analysis Script
const url = process.argv[2];
const apiKey = process.argv[3] || process.env.PAGESPEED_API_KEY;

if (!url) {
  console.error('Usage: npx ts-node analyze.ts <URL> [API_KEY]');
  console.error('Or set PAGESPEED_API_KEY environment variable');
  process.exit(1);
}

interface AuditResult {
  title?: string;
  description?: string;
  score?: number | null;
  displayValue?: string;
  numericValue?: number;
}

interface PageSpeedResult {
  lighthouseResult: {
    categories: {
      performance: { score: number };
      accessibility: { score: number };
      'best-practices': { score: number };
      seo: { score: number };
    };
    audits: {
      [key: string]: AuditResult;
    };
  };
}

async function analyzeUrl(targetUrl: string, strategy: 'mobile' | 'desktop'): Promise<PageSpeedResult> {
  let apiUrl = `https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url=${encodeURIComponent(targetUrl)}&strategy=${strategy}&category=performance&category=accessibility&category=best-practices&category=seo`;

  if (apiKey) {
    apiUrl += `&key=${apiKey}`;
  }

  console.log(`Analyzing ${strategy}...`);
  const response = await fetch(apiUrl);
  if (!response.ok) {
    throw new Error(`API error: ${response.status} ${response.statusText}`);
  }
  return response.json() as Promise<PageSpeedResult>;
}

function getScoreColor(score: number): string {
  if (score >= 90) return '#0cce6b';
  if (score >= 50) return '#ffa400';
  return '#ff4e42';
}

function generateReport(mobile: PageSpeedResult, desktop: PageSpeedResult, targetUrl: string): string {
  const m = mobile.lighthouseResult;
  const d = desktop.lighthouseResult;

  const mobileScores = {
    performance: Math.round(m.categories.performance.score * 100),
    accessibility: Math.round(m.categories.accessibility.score * 100),
    bestPractices: Math.round(m.categories['best-practices'].score * 100),
    seo: Math.round(m.categories.seo.score * 100),
  };

  const desktopScores = {
    performance: Math.round(d.categories.performance.score * 100),
    accessibility: Math.round(d.categories.accessibility.score * 100),
    bestPractices: Math.round(d.categories['best-practices'].score * 100),
    seo: Math.round(d.categories.seo.score * 100),
  };

  const webVitals = {
    mobile: {
      lcp: m.audits['largest-contentful-paint'],
      tbt: m.audits['total-blocking-time'],
      cls: m.audits['cumulative-layout-shift'],
      fcp: m.audits['first-contentful-paint'],
      si: m.audits['speed-index'],
      tti: m.audits['interactive'],
    },
    desktop: {
      lcp: d.audits['largest-contentful-paint'],
      tbt: d.audits['total-blocking-time'],
      cls: d.audits['cumulative-layout-shift'],
      fcp: d.audits['first-contentful-paint'],
      si: d.audits['speed-index'],
      tti: d.audits['interactive'],
    },
  };

  // Extract top opportunities
  const opportunities: string[] = [];
  for (const [key, audit] of Object.entries(m.audits)) {
    if (audit.score !== undefined && audit.score < 0.9 && audit.title && audit.description) {
      opportunities.push(`<li><strong>${audit.title}</strong>: ${audit.description.split('.')[0]}.</li>`);
    }
  }

  return `<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>SEO Report - ${targetUrl}</title>
  <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
  <style>
    * { margin: 0; padding: 0; box-sizing: border-box; }
    body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; line-height: 1.6; }
    .container { max-width: 1200px; margin: 0 auto; padding: 2rem; }
    h1 { font-size: 1.8rem; margin-bottom: 0.5rem; }
    .url { color: #666; font-size: 0.9rem; margin-bottom: 2rem; word-break: break-all; }
    .grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 1.5rem; margin-bottom: 2rem; }
    .card { background: white; border-radius: 8px; padding: 1.5rem; box-shadow: 0 1px 3px rgba(0,0,0,0.1); }
    .card h2 { font-size: 1.1rem; margin-bottom: 1rem; color: #444; }
    .scores { display: flex; justify-content: space-around; text-align: center; }
    .score-item { display: flex; flex-direction: column; align-items: center; }
    .score-circle { width: 60px; height: 60px; border-radius: 50%; display: flex; align-items: center; justify-content: center; font-size: 1.2rem; font-weight: bold; color: white; margin-bottom: 0.5rem; }
    .score-label { font-size: 0.75rem; color: #666; }
    .vitals-table { width: 100%; border-collapse: collapse; }
    .vitals-table th, .vitals-table td { padding: 0.75rem; text-align: left; border-bottom: 1px solid #eee; }
    .vitals-table th { font-weight: 500; color: #666; font-size: 0.85rem; }
    .good { color: #0cce6b; }
    .needs-improvement { color: #ffa400; }
    .poor { color: #ff4e42; }
    .chart-container { position: relative; height: 300px; }
    .opportunities { list-style: none; }
    .opportunities li { padding: 0.75rem 0; border-bottom: 1px solid #eee; font-size: 0.9rem; }
    .opportunities li:last-child { border-bottom: none; }
    .timestamp { text-align: center; color: #999; font-size: 0.8rem; margin-top: 2rem; }
  </style>
</head>
<body>
  <div class="container">
    <h1>SEO Analysis Report</h1>
    <p class="url">${targetUrl}</p>

    <div class="grid">
      <div class="card">
        <h2>Mobile Scores</h2>
        <div class="scores">
          <div class="score-item">
            <div class="score-circle" style="background: ${getScoreColor(mobileScores.performance)}">${mobileScores.performance}</div>
            <span class="score-label">Performance</span>
          </div>
          <div class="score-item">
            <div class="score-circle" style="background: ${getScoreColor(mobileScores.accessibility)}">${mobileScores.accessibility}</div>
            <span class="score-label">Accessibility</span>
          </div>
          <div class="score-item">
            <div class="score-circle" style="background: ${getScoreColor(mobileScores.bestPractices)}">${mobileScores.bestPractices}</div>
            <span class="score-label">Best Practices</span>
          </div>
          <div class="score-item">
            <div class="score-circle" style="background: ${getScoreColor(mobileScores.seo)}">${mobileScores.seo}</div>
            <span class="score-label">SEO</span>
          </div>
        </div>
      </div>

      <div class="card">
        <h2>Desktop Scores</h2>
        <div class="scores">
          <div class="score-item">
            <div class="score-circle" style="background: ${getScoreColor(desktopScores.performance)}">${desktopScores.performance}</div>
            <span class="score-label">Performance</span>
          </div>
          <div class="score-item">
            <div class="score-circle" style="background: ${getScoreColor(desktopScores.accessibility)}">${desktopScores.accessibility}</div>
            <span class="score-label">Accessibility</span>
          </div>
          <div class="score-item">
            <div class="score-circle" style="background: ${getScoreColor(desktopScores.bestPractices)}">${desktopScores.bestPractices}</div>
            <span class="score-label">Best Practices</span>
          </div>
          <div class="score-item">
            <div class="score-circle" style="background: ${getScoreColor(desktopScores.seo)}">${desktopScores.seo}</div>
            <span class="score-label">SEO</span>
          </div>
        </div>
      </div>
    </div>

    <div class="grid">
      <div class="card">
        <h2>Core Web Vitals - Mobile</h2>
        <table class="vitals-table">
          <tr><th>Metric</th><th>Value</th><th>Status</th></tr>
          <tr>
            <td>Largest Contentful Paint (LCP)</td>
            <td>${webVitals.mobile.lcp?.displayValue || 'N/A'}</td>
            <td class="${(webVitals.mobile.lcp?.numericValue || 0) <= 2500 ? 'good' : (webVitals.mobile.lcp?.numericValue || 0) <= 4000 ? 'needs-improvement' : 'poor'}">${(webVitals.mobile.lcp?.numericValue || 0) <= 2500 ? 'Good' : (webVitals.mobile.lcp?.numericValue || 0) <= 4000 ? 'Needs Work' : 'Poor'}</td>
          </tr>
          <tr>
            <td>Total Blocking Time (TBT)</td>
            <td>${webVitals.mobile.tbt?.displayValue || 'N/A'}</td>
            <td class="${(webVitals.mobile.tbt?.numericValue || 0) <= 200 ? 'good' : (webVitals.mobile.tbt?.numericValue || 0) <= 600 ? 'needs-improvement' : 'poor'}">${(webVitals.mobile.tbt?.numericValue || 0) <= 200 ? 'Good' : (webVitals.mobile.tbt?.numericValue || 0) <= 600 ? 'Needs Work' : 'Poor'}</td>
          </tr>
          <tr>
            <td>Cumulative Layout Shift (CLS)</td>
            <td>${webVitals.mobile.cls?.displayValue || 'N/A'}</td>
            <td class="${(webVitals.mobile.cls?.numericValue || 0) <= 0.1 ? 'good' : (webVitals.mobile.cls?.numericValue || 0) <= 0.25 ? 'needs-improvement' : 'poor'}">${(webVitals.mobile.cls?.numericValue || 0) <= 0.1 ? 'Good' : (webVitals.mobile.cls?.numericValue || 0) <= 0.25 ? 'Needs Work' : 'Poor'}</td>
          </tr>
          <tr>
            <td>First Contentful Paint (FCP)</td>
            <td>${webVitals.mobile.fcp?.displayValue || 'N/A'}</td>
            <td class="${(webVitals.mobile.fcp?.numericValue || 0) <= 1800 ? 'good' : (webVitals.mobile.fcp?.numericValue || 0) <= 3000 ? 'needs-improvement' : 'poor'}">${(webVitals.mobile.fcp?.numericValue || 0) <= 1800 ? 'Good' : (webVitals.mobile.fcp?.numericValue || 0) <= 3000 ? 'Needs Work' : 'Poor'}</td>
          </tr>
          <tr>
            <td>Speed Index</td>
            <td>${webVitals.mobile.si?.displayValue || 'N/A'}</td>
            <td class="${(webVitals.mobile.si?.numericValue || 0) <= 3400 ? 'good' : (webVitals.mobile.si?.numericValue || 0) <= 5800 ? 'needs-improvement' : 'poor'}">${(webVitals.mobile.si?.numericValue || 0) <= 3400 ? 'Good' : (webVitals.mobile.si?.numericValue || 0) <= 5800 ? 'Needs Work' : 'Poor'}</td>
          </tr>
          <tr>
            <td>Time to Interactive (TTI)</td>
            <td>${webVitals.mobile.tti?.displayValue || 'N/A'}</td>
            <td class="${(webVitals.mobile.tti?.numericValue || 0) <= 3800 ? 'good' : (webVitals.mobile.tti?.numericValue || 0) <= 7300 ? 'needs-improvement' : 'poor'}">${(webVitals.mobile.tti?.numericValue || 0) <= 3800 ? 'Good' : (webVitals.mobile.tti?.numericValue || 0) <= 7300 ? 'Needs Work' : 'Poor'}</td>
          </tr>
        </table>
      </div>

      <div class="card">
        <h2>Score Comparison</h2>
        <div class="chart-container">
          <canvas id="comparisonChart"></canvas>
        </div>
      </div>
    </div>

    <div class="card">
      <h2>Optimization Opportunities</h2>
      <ul class="opportunities">
        ${opportunities.slice(0, 10).join('\n        ') || '<li>No significant issues found. Great job!</li>'}
      </ul>
    </div>

    <p class="timestamp">Generated on ${new Date().toLocaleString()}</p>
  </div>

  <script>
    new Chart(document.getElementById('comparisonChart'), {
      type: 'radar',
      data: {
        labels: ['Performance', 'Accessibility', 'Best Practices', 'SEO'],
        datasets: [
          {
            label: 'Mobile',
            data: [${mobileScores.performance}, ${mobileScores.accessibility}, ${mobileScores.bestPractices}, ${mobileScores.seo}],
            borderColor: '#4285f4',
            backgroundColor: 'rgba(66, 133, 244, 0.2)',
          },
          {
            label: 'Desktop',
            data: [${desktopScores.performance}, ${desktopScores.accessibility}, ${desktopScores.bestPractices}, ${desktopScores.seo}],
            borderColor: '#34a853',
            backgroundColor: 'rgba(52, 168, 83, 0.2)',
          }
        ]
      },
      options: {
        scales: { r: { beginAtZero: true, max: 100 } },
        plugins: { legend: { position: 'bottom' } }
      }
    });
  </script>
</body>
</html>`;
}

async function main() {
  try {
    console.log('Starting SEO analysis for:', url);
    console.log('');

    // Sequential requests to avoid rate limiting
    const mobile = await analyzeUrl(url, 'mobile');
    const desktop = await analyzeUrl(url, 'desktop');

    const report = generateReport(mobile, desktop, url);

    const fs = await import('fs');
    const outputPath = './seo-report.html';
    fs.writeFileSync(outputPath, report);

    // Print summary
    const m = mobile.lighthouseResult;
    const d = desktop.lighthouseResult;

    console.log('');
    console.log('=== SEO Analysis Complete ===');
    console.log('');
    console.log('Mobile Scores:');
    console.log(`  Performance:    ${Math.round(m.categories.performance.score * 100)}/100`);
    console.log(`  Accessibility:  ${Math.round(m.categories.accessibility.score * 100)}/100`);
    console.log(`  Best Practices: ${Math.round(m.categories['best-practices'].score * 100)}/100`);
    console.log(`  SEO:            ${Math.round(m.categories.seo.score * 100)}/100`);
    console.log('');
    console.log('Desktop Scores:');
    console.log(`  Performance:    ${Math.round(d.categories.performance.score * 100)}/100`);
    console.log(`  Accessibility:  ${Math.round(d.categories.accessibility.score * 100)}/100`);
    console.log(`  Best Practices: ${Math.round(d.categories['best-practices'].score * 100)}/100`);
    console.log(`  SEO:            ${Math.round(d.categories.seo.score * 100)}/100`);
    console.log('');
    console.log('Core Web Vitals (Mobile):');
    console.log(`  LCP: ${m.audits['largest-contentful-paint']?.displayValue || 'N/A'}`);
    console.log(`  TBT: ${m.audits['total-blocking-time']?.displayValue || 'N/A'}`);
    console.log(`  CLS: ${m.audits['cumulative-layout-shift']?.displayValue || 'N/A'}`);
    console.log('');
    console.log(`Report saved to: ${outputPath}`);
    console.log('Open the HTML file in a browser to view the interactive report.');

  } catch (error) {
    console.error('Error:', error);
    process.exit(1);
  }
}

main();

Run with:

npx ts-node analyze.ts https://eng0.ai YOUR_API_KEY

Output

The skill generates:

  1. Console Summary - Quick overview of all scores
  2. seo-report.html - Interactive HTML report with:

- Mobile & Desktop score cards - Core Web Vitals table with status indicators - Radar chart comparing mobile vs desktop - Top optimization opportunities

Metrics Explained

Lighthouse Scores (0-100)

  • Performance: Page load speed and interactivity
  • Accessibility: How accessible the page is to users with disabilities
  • Best Practices: Modern web development standards
  • SEO: Search engine optimization basics

Core Web Vitals

MetricGoodNeeds WorkPoor
LCP (Largest Contentful Paint)< 2.5s2.5-4s> 4s
TBT (Total Blocking Time)< 200ms200-600ms> 600ms
CLS (Cumulative Layout Shift)< 0.10.1-0.25> 0.25

API Details

Uses Google PageSpeed Insights API v5:

  • Free: No API key required for basic usage
  • Rate Limit: ~25 requests per 100 seconds
  • Data: Real Lighthouse audit results

Example Output

=== SEO Analysis Complete ===

Mobile Scores:
  Performance:    89/100
  Accessibility:  95/100
  Best Practices: 100/100
  SEO:            91/100

Core Web Vitals (Mobile):
  LCP: 1.8 s
  TBT: 150 ms
  CLS: 0.02

Report saved to: ./seo-report.html

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Gemini CLI

25.76%
按下载量换算89

Claude Code

25.32%
按下载量换算87

Antigravity

16.19%
按下载量换算56

windsurf

13.93%
按下载量换算48

Codex

8.62%
按下载量换算30

OpenCode

3.58%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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