Agent skill

SEO Patterns

by vibeeval in vibeeval/vibecosystem

Meta tag patterns, structured data (JSON-LD), Core Web Vitals optimization, and SSR/SSG strategies for search visibility.

MITAuto-check passedMarketing & SEO

Install SEO Patterns

skills CLI
$ npx skills add vibeeval/vibecosystem --skill seo-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vibeeval/vibecosystem seo-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-patterns .claude/skills/seo-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
seo-patterns
GitHub stars
531
Token cost
~2.9k tokens
SKILL.md length
195 words
Files
1
Skills in repo
144
Repo updated
First seen
Licence
MIT

At a glance

Meta tag patterns, structured data (JSON-LD), Core Web Vitals optimization, and SSR/SSG strategies for search visibility.

  • Tasks that involve Schema markup
  • SKILL.md covers Meta Tags Template, Structured Data (JSON-LD), Core Web Vitals Optimization and SSR/SSG Strategy, plus 4 more sections
  • Reaches schema.org and youtube.com
  • Tasks that involve Web performance

What it does

SEO Patterns is an agent skill from vibeeval/vibecosystem. Meta tag patterns, structured data (JSON-LD), Core Web Vitals optimization, and SSR/SSG strategies for search visibility.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Schema markup, Web performance and On-page SEO. The repository describes itself as: AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution. The licence is MIT.

When your agent uses it

  • Tasks that involve Schema markup
  • Tasks that involve Web performance
  • Tasks that involve On-page SEO

Example prompts

  • “/seo-patterns”

What it can do on your machine

Read from SKILL.md and the folder at commit 3b763b1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • schema.org
    • youtube.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

SEO Patterns loads about 2.9k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from vibeeval/vibecosystem at commit 3b763b1, republished under its MIT licence (© vibeeval). 195 words, ~2,880 tokens.

Download SKILL.mdSave it as .claude/skills/seo-patterns/SKILL.md (or your agent's skills folder).
name
seo-patterns
description
Meta tag patterns, structured data (JSON-LD), Core Web Vitals optimization, and SSR/SSG strategies for search visibility.

SEO Patterns

Technical SEO patterns for web applications and content sites.

Meta Tags Template

typescript
// Next.js App Router metadata
import { Metadata } from 'next'

export function generateMetadata({ params }): Metadata {
  const product = getProduct(params.slug)

  return {
    title: `${product.name} | Your App`,        // 50-60 chars
    description: product.summary.slice(0, 155), // 150-160 chars
    alternates: {
      canonical: `https://example.com/products/${params.slug}`,
      languages: {
        'en': `https://example.com/en/products/${params.slug}`,
        'tr': `https://example.com/tr/products/${params.slug}`,
      }
    },
    openGraph: {
      title: product.name,
      description: product.summary,
      url: `https://example.com/products/${params.slug}`,
      siteName: 'Your App',
      images: [{
        url: product.imageUrl,
        width: 1200,
        height: 630,
        alt: product.name,
      }],
      type: 'website',
      locale: 'en_US',
    },
    twitter: {
      card: 'summary_large_image',
      title: product.name,
      description: product.summary,
      images: [product.imageUrl],
    },
    robots: {
      index: true,
      follow: true,
      'max-image-preview': 'large',
      'max-snippet': -1,
    }
  }
}

Structured Data (JSON-LD)

typescript
// Product schema
function ProductJsonLd({ product }: { product: Product }) {
  const schema = {
    '@context': 'https://schema.org',
    '@type': 'Product',
    name: product.name,
    description: product.description,
    image: product.images,
    sku: product.sku,
    brand: {
      '@type': 'Brand',
      name: product.brand,
    },
    offers: {
      '@type': 'Offer',
      url: `https://example.com/products/${product.slug}`,
      priceCurrency: 'USD',
      price: product.price,
      availability: product.inStock
        ? 'https://schema.org/InStock'
        : 'https://schema.org/OutOfStock',
      seller: {
        '@type': 'Organization',
        name: 'Your App',
      }
    },
    aggregateRating: product.reviewCount > 0 ? {
      '@type': 'AggregateRating',
      ratingValue: product.avgRating,
      reviewCount: product.reviewCount,
    } : undefined,
  }

  return <script type="application/ld+json">{JSON.stringify(schema)}</script>
}

// FAQ schema (wins featured snippets)
function FaqJsonLd({ faqs }: { faqs: { question: string; answer: string }[] }) {
  const schema = {
    '@context': 'https://schema.org',
    '@type': 'FAQPage',
    mainEntity: faqs.map(faq => ({
      '@type': 'Question',
      name: faq.question,
      acceptedAnswer: {
        '@type': 'Answer',
        text: faq.answer,
      }
    }))
  }

  return <script type="application/ld+json">{JSON.stringify(schema)}</script>
}

// BreadcrumbList schema
function BreadcrumbJsonLd({ items }: { items: { name: string; url: string }[] }) {
  const schema = {
    '@context': 'https://schema.org',
    '@type': 'BreadcrumbList',
    itemListElement: items.map((item, i) => ({
      '@type': 'ListItem',
      position: i + 1,
      name: item.name,
      item: item.url,
    }))
  }

  return <script type="application/ld+json">{JSON.stringify(schema)}</script>
}

Core Web Vitals Optimization

typescript
// LCP (Largest Contentful Paint) - Target: < 2.5s
// Priority: preload hero image, avoid lazy-loading above-fold content
import Image from 'next/image'

function HeroSection({ image }: { image: string }) {
  return (
    <Image
      src={image}
      alt="Hero"
      width={1200}
      height={600}
      priority           // Preload, no lazy loading
      sizes="100vw"      // Responsive sizing hints
      quality={85}       // Balance quality vs size
    />
  )
}

// CLS (Cumulative Layout Shift) - Target: < 0.1
// Always set explicit width/height on images and embeds
function VideoEmbed({ videoId }: { videoId: string }) {
  return (
    <div style={{ aspectRatio: '16/9', width: '100%' }}>
      <iframe
        src={`https://youtube.com/embed/${videoId}`}
        width="100%"
        height="100%"
        loading="lazy"
        title="Video"
      />
    </div>
  )
}

// INP (Interaction to Next Paint) - Target: < 200ms
// Defer heavy computation, use web workers
function SearchResults() {
  const [query, setQuery] = useState('')
  const [results, setResults] = useState([])

  // Debounce input to prevent blocking main thread
  const debouncedSearch = useMemo(
    () => debounce((q: string) => {
      startTransition(() => {
        setResults(search(q))
      })
    }, 300),
    []
  )

  return (
    <input
      type="search"
      onChange={(e) => {
        setQuery(e.target.value)
        debouncedSearch(e.target.value)
      }}
    />
  )
}

SSR/SSG Strategy

typescript
// Static Generation (SSG): content that rarely changes
// Best for: blog posts, product pages, documentation
export async function generateStaticParams() {
  const products = await getProductSlugs()
  return products.map(slug => ({ slug }))
}

export default async function ProductPage({ params }) {
  const product = await getProduct(params.slug)
  return <ProductDetail product={product} />
}

// Incremental Static Regeneration (ISR): SSG with refresh
export const revalidate = 3600  // Regenerate every hour

// Server-Side Rendering (SSR): dynamic, personalized content
// Use only when content changes per request (user-specific, real-time data)
export const dynamic = 'force-dynamic'

Sitemap and Robots

typescript
// app/sitemap.ts
export default async function sitemap(): MetadataRoute.Sitemap {
  const products = await getAllProducts()
  const posts = await getAllBlogPosts()

  return [
    { url: 'https://example.com', lastModified: new Date(), priority: 1.0 },
    ...products.map(p => ({
      url: `https://example.com/products/${p.slug}`,
      lastModified: p.updatedAt,
      changeFrequency: 'weekly' as const,
      priority: 0.8,
    })),
    ...posts.map(p => ({
      url: `https://example.com/blog/${p.slug}`,
      lastModified: p.updatedAt,
      changeFrequency: 'monthly' as const,
      priority: 0.6,
    })),
  ]
}

// app/robots.ts
export default function robots(): MetadataRoute.Robots {
  return {
    rules: [
      { userAgent: '*', allow: '/', disallow: ['/api/', '/admin/', '/checkout/'] },
    ],
    sitemap: 'https://example.com/sitemap.xml',
  }
}

Checklist

  • Unique title (50-60 chars) and description (150-160 chars) per page
  • Canonical URL set on every page (avoid duplicate content)
  • JSON-LD structured data for products, FAQs, breadcrumbs, articles
  • Open Graph + Twitter Card meta tags for social sharing
  • LCP < 2.5s: preload hero images, inline critical CSS
  • CLS < 0.1: explicit dimensions on all images/embeds
  • INP < 200ms: debounce inputs, defer heavy JS
  • Dynamic sitemap.xml updated with all crawlable pages
  • robots.txt blocks API, admin, and auth routes from crawling
  • hreflang tags for multi-language sites

SaaS Landing Page Anatomy

┌──────────────────────────────────────┐
│  Nav: Logo | Features | Pricing | CTA │ ← Sticky, minimal
├──────────────────────────────────────┤
│  HERO SECTION                        │
│  H1: Value proposition (6-12 words)  │
│  Subtitle: How it works (1 sentence) │
│  CTA button + social proof line      │
│  Hero image/screenshot               │
├──────────────────────────────────────┤
│  SOCIAL PROOF BAR                    │
│  "Trusted by X teams" + logos        │
├──────────────────────────────────────┤
│  FEATURES (3-4 cards)                │
│  Icon + Title + 1 sentence each      │
├──────────────────────────────────────┤
│  HOW IT WORKS (3 steps)              │
│  Step 1 → Step 2 → Step 3           │
├──────────────────────────────────────┤
│  TESTIMONIALS (2-3 quotes)           │
│  Photo + Name + Role + Quote         │
├──────────────────────────────────────┤
│  PRICING (3 tiers)                   │
│  Free | Pro (highlighted) | Enterprise│
├──────────────────────────────────────┤
│  FAQ (5-8 questions, JSON-LD)        │
├──────────────────────────────────────┤
│  FINAL CTA                           │
│  Repeat hero CTA with urgency        │
├──────────────────────────────────────┤
│  FOOTER                              │
│  Legal links + sitemap links         │
└──────────────────────────────────────┘
Hero Section Formulas
Formula 1 — Problem-Solution:
  H1: "Stop [pain point]. Start [desired outcome]."
  Example: "Stop losing leads. Start converting visitors."

Formula 2 — Before-After:
  H1: "[Tool] turns [bad state] into [good state]."
  Example: "[Product] turns messy spreadsheets into real-time dashboards."

Formula 3 — Social Proof Lead:
  H1: "[N]+ teams use [tool] to [outcome]."
  Example: "2,000+ teams use [Product] to ship 3x faster."
Pricing Page SEO
typescript
// Pricing page structured data
function PricingJsonLd({ plans }: { plans: Plan[] }) {
  const schema = {
    '@context': 'https://schema.org',
    '@type': 'WebPage',
    name: 'Pricing',
    description: 'Plans and pricing for Your App',
    mainEntity: plans.map(plan => ({
      '@type': 'Offer',
      name: plan.name,
      price: plan.price,
      priceCurrency: 'USD',
      description: plan.description,
      eligibleDuration: { '@type': 'QuantitativeValue', value: 1, unitCode: 'MON' }
    }))
  }

  return <script type="application/ld+json">{JSON.stringify(schema)}</script>
}

// SEO tips for pricing pages:
// - Title: "[Product] Pricing — Free, Pro & Enterprise Plans"
// - Include pricing in meta description (Google shows it in snippets)
// - Use comparison table with feature checkmarks
// - FAQ section below pricing (common objections → JSON-LD)
// - "Free tier" callout improves CTR from search results
SaaS-Specific Structured Data
typescript
// SoftwareApplication schema (rich results for SaaS)
function SoftwareAppJsonLd({ app }: { app: SaaSApp }) {
  const schema = {
    '@context': 'https://schema.org',
    '@type': 'SoftwareApplication',
    name: app.name,
    applicationCategory: app.category,  // 'BusinessApplication', 'DeveloperApplication'
    operatingSystem: 'Web',
    offers: {
      '@type': 'AggregateOffer',
      lowPrice: app.freeTier ? '0' : app.lowestPrice,
      highPrice: app.highestPrice,
      priceCurrency: 'USD',
      offerCount: app.planCount
    },
    aggregateRating: app.reviewCount > 0 ? {
      '@type': 'AggregateRating',
      ratingValue: app.avgRating,
      ratingCount: app.reviewCount,
      bestRating: 5,
      worstRating: 1
    } : undefined,
    screenshot: app.screenshotUrl,
    featureList: app.features.join(', ')
  }

  return <script type="application/ld+json">{JSON.stringify(schema)}</script>
}

Anti-Patterns

  • Client-side only rendering: search engines may not execute JS
  • Duplicate content without canonical: pages compete against themselves
  • Missing alt text on images: accessibility and image search penalty
  • Blocking CSS/JS in robots.txt: prevents proper rendering by crawlers
  • Infinite scroll without pagination URLs: content invisible to crawlers
  • Meta description over 160 chars: truncated in search results
  • Pricing page without structured data: misses rich snippet opportunity
  • Landing page H1 focused on brand, not value: low click-through from SERPs

© vibeeval, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/seo-patterns of vibeeval/vibecosystem.

Open the folder on GitHubat commit 3b763b1

Compare with similar skills

SEO Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

SEO Patterns compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SEO Patterns this skillvibeeval/vibecosystem531—~2.9kAutomated safety check: PassMIT
SEO Validatesoftspark/ai-toolkit179—~3.9kAutomated safety check: NotesApache-2.0
Persian SEOTronIsHere/vibefarsiui207—~1.7kAutomated safety check: WarnNone
SEO Auditjosstei/maestro-orchestrate465—~218Automated safety check: PassApache-2.0
SEO Audittextura-agency/next16-claude-starter132—~2.2kAutomated safety check: NotesUnlicense
SEO Geoericrisco/rsc-harness156—~2.8kAutomated safety check: PassMIT

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Questions about SEO Patterns

What does SEO Patterns do?

Meta tag patterns, structured data (JSON-LD), Core Web Vitals optimization, and SSR/SSG strategies for search visibility. SEO Patterns is an agent skill from vibeeval/vibecosystem. Meta tag patterns, structured data (JSON-LD), Core Web Vitals optimization, and SSR/SSG strategies for search visibility.

When should I use SEO Patterns?

SEO Patterns fits situations like: tasks that involve Schema markup; tasks that involve Web performance; tasks that involve On-page SEO.

How do I install SEO Patterns in Claude Code?

Run `npx skills add vibeeval/vibecosystem --skill seo-patterns -a claude-code`. Or copy the skill folder (skills/seo-patterns in vibeeval/vibecosystem) into .claude/skills/seo-patterns in your project. Claude Code loads it when a task matches its description.

How do I install SEO Patterns in Codex?

Run `npx skills add vibeeval/vibecosystem --skill seo-patterns -a codex`. Or copy the skill folder (skills/seo-patterns in vibeeval/vibecosystem) into .agents/skills/seo-patterns in your project. Codex loads it when a task matches its description.

Can I use SEO Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vibeeval/vibecosystem --skill seo-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-patterns, .gemini/skills/seo-patterns, .github/skills/seo-patterns and .opencode/skills/seo-patterns in your project.

What does SEO Patterns need to run?

SKILL.md names no scripts, command-line tools or credentials: SEO Patterns is instructions for the agent only.

Does SEO Patterns access the network?

SKILL.md names 2 domains. In commands or code: schema.org and youtube.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is SEO Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does SEO Patterns use?

SEO Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does SEO Patterns use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to SEO Patterns?

Skills that share tags, products or a category with SEO Patterns: SEO Validate (softspark/ai-toolkit, 179 stars), Persian SEO (TronIsHere/vibefarsiui, 207 stars), SEO Audit (josstei/maestro-orchestrate, 465 stars) and SEO Audit (textura-agency/next16-claude-starter, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO Patterns?

vibeeval (a GitHub user) maintains it in vibeeval/vibecosystem, which has 531 GitHub stars. The repository holds 144 skills in this directory. The repository was last updated on August 8, 2026.

Source: vibeeval/vibecosystem on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.