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Seo Auditing

Community
spencerpauly
seo-auditing

Audit technical SEO — meta tags, structured data, Open Graph, sitemaps, robots.txt, performance, and accessibility signals.

Overview

Publisherspencerpauly
Repositoryawesome-cursor-skills
Skill nameseo-auditing
Stars
848
Forks
169
Bundled files
Instructions only
LicenseCC0-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by spencerpauly on GitHub. Read the source before you install it.

Installation

Install the Seo Auditing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/seo-auditing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/spencerpauly/awesome-cursor-skills.git /tmp/awesome-cursor-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-cursor-skills/resources/seo-auditing .claude/skills/seo-auditing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Auditing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Auditing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Auditing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SEO Auditing

Check and fix technical SEO issues in a web project.

Audit Checklist

1. Meta Tags

Every page must have:

html
<head>
  <title>Page Title — Site Name</title>
  <meta name="description" content="155 chars max, compelling summary" />
  <link rel="canonical" href="https://example.com/page" />
  <meta name="viewport" content="width=device-width, initial-scale=1" />
</head>

Check for:

  • Unique <title> per page (50-60 chars)
  • Unique <meta description> per page (120-155 chars)
  • Canonical URL set (avoids duplicate content)
  • No noindex on pages that should be indexed

2. Open Graph & Social

html
<meta property="og:title" content="Page Title" />
<meta property="og:description" content="Description for social sharing" />
<meta property="og:image" content="https://example.com/og-image.png" />
<meta property="og:url" content="https://example.com/page" />
<meta property="og:type" content="website" />
<meta name="twitter:card" content="summary_large_image" />

3. Structured Data (JSON-LD)

Add schema markup for rich search results:

html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Article Title",
  "author": { "@type": "Person", "name": "Author Name" },
  "datePublished": "2026-04-10",
  "image": "https://example.com/image.jpg"
}
</script>

Common types: Article, Product, FAQPage, Organization, BreadcrumbList

Test with: https://search.google.com/test/rich-results

4. Sitemap

/sitemap.xml should:

  • List all indexable pages
  • Include <lastmod> dates
  • Exclude pages with noindex
  • Be under 50MB / 50,000 URLs per file
  • Be referenced in robots.txt

5. Robots.txt

/robots.txt should:

User-agent: *
Allow: /
Disallow: /api/
Disallow: /admin/
Sitemap: https://example.com/sitemap.xml
  • Not block CSS/JS files (search engines need them to render)
  • Not block pages you want indexed

6. Performance (Core Web Vitals)

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

Key fixes:

  • Compress and lazy-load images
  • Preload critical fonts and CSS
  • Avoid layout shifts from dynamic content
  • Use next/image or equivalent for automatic optimization

7. Crawlability

  • All important pages are reachable from internal links
  • No orphan pages (pages with zero internal links)
  • No redirect chains (A→B→C should be A→C)
  • 404 pages return proper HTTP 404 status
  • No broken internal links

8. Accessibility (SEO Signals)

  • All images have alt text
  • Heading hierarchy is correct (one h1, then h2, h3 etc.)
  • Links have descriptive text (not "click here")
  • Language attribute set: <html lang="en">

Quick Automated Check

bash
# Check robots.txt
curl -s https://example.com/robots.txt

# Check sitemap
curl -s https://example.com/sitemap.xml | head -20

# Check meta tags
curl -s https://example.com | grep -E '<title>|<meta name="description"|<link rel="canonical"'

# Check HTTP status codes
curl -o /dev/null -s -w "%{http_code}" https://example.com/page

Tips

  • Run Lighthouse in Chrome DevTools → check SEO score
  • Google Search Console is the source of truth for indexing issues
  • Mobile-friendliness is a ranking factor — test on mobile viewports
  • Page speed directly affects rankings — optimize Core Web Vitals

Frequently asked questions

What does the Seo Auditing AI skill do?

Audit technical SEO — meta tags, structured data, Open Graph, sitemaps, robots.txt, performance, and accessibility signals.

Why use Seo Auditing on TypingMind?

Because you install it once and use it with any model. Seo Auditing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Auditing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/seo-auditing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seo Auditing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Auditing?

As many as you like. As long as a model supports skills, you can use Seo Auditing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Auditing AI skill free?

Yes. It is published on GitHub by spencerpauly under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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