thatrebeccarae/claude-marketing

schema-markup-generator

Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features.

First seen Apr 8, 2026

Installation

$ npx skills add thatrebeccarae/claude-marketing --skill schema-markup-generator

Summary

  • Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features.
  • Supports Article, FAQ, HowTo, Product, Review, LocalBusiness, Event, BreadcrumbList, Person, Organization, and more.
  • Use when the user needs schema markup, structured data, rich snippets, JSON-LD, or wants to improve search appearance.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 133
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseMIT
Declared agents claude-code
More metadata
version
1.0.0
category
seo
domain
structured-data
updated
2026-03-18
tested
2026-03-18
tested_with
Claude Code v2.1

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,545 B
  • docs SUMMARY.md 376 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 75 installs

SKILL.md

Schema Markup Generator

Generate JSON-LD structured data for rich results, AI citations, and enhanced search visibility.

Install

git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/schema-markup-generator ~/.claude/skills/

When to Use

  • Adding structured data to new or existing pages
  • Generating JSON-LD for specific schema types
  • Auditing existing schema for errors or missing fields
  • Improving AI search visibility (pairs with aeo-geo-optimizer)
  • Enabling rich results (FAQ dropdowns, star ratings, how-to steps)

Workflow

Step 1: Identify Content Type

Content Primary Schema Rich Result
Blog post Article Enhanced listing with author, date
FAQ section FAQPage Expandable Q&A in SERPs
Tutorial HowTo Step-by-step with images/time
Product page Product Price, availability, ratings
Review Review + Rating Star ratings in SERPs
Recipe Recipe Cooking time, ingredients, ratings
Event Event Date, location, ticket info
Local business LocalBusiness Maps, hours, contact
Person/author Person Knowledge panel
Breadcrumbs BreadcrumbList Breadcrumb trail in SERPs
Video VideoObject Video carousel, thumbnails
Software SoftwareApplication App info in SERPs
Course Course Course info in SERPs
Dataset Dataset Dataset search results

Step 2: Generate JSON-LD

Generate a <script type="application/ld+json"> block with all required and recommended fields for the schema type. Always use JSON-LD format (not Microdata or RDFa).

Step 3: Validate

Schema Templates

Article

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Article Title (max 110 chars)",
  "description": "Brief description of the article",
  "author": {
    "@type": "Person",
    "name": "Author Name",
    "url": "https://example.com/author/name",
    "jobTitle": "Author Title",
    "sameAs": ["https://linkedin.com/in/author", "https://twitter.com/author"]
  },
  "publisher": {
    "@type": "Organization",
    "name": "Publisher Name",
    "logo": {"@type": "ImageObject", "url": "https://example.com/logo.png"}
  },
  "datePublished": "2026-03-18T00:00:00Z",
  "dateModified": "2026-03-18T00:00:00Z",
  "image": "https://example.com/article-image.jpg",
  "mainEntityOfPage": {"@type": "WebPage", "@id": "https://example.com/article-url"}
}

FAQPage

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is the question?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "The complete answer text. Can include <a href=url>HTML links</a>."
      }
    }
  ]
}

HowTo

{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Do Something",
  "description": "Brief description",
  "totalTime": "PT30M",
  "estimatedCost": {"@type": "MonetaryAmount", "currency": "USD", "value": "0"},
  "step": [
    {
      "@type": "HowToStep",
      "name": "Step 1 Title",
      "text": "Detailed step instructions",
      "image": "https://example.com/step1.jpg"
    }
  ]
}

Product

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Product Name",
  "description": "Product description",
  "image": "https://example.com/product.jpg",
  "brand": {"@type": "Brand", "name": "Brand Name"},
  "sku": "SKU-12345",
  "offers": {
    "@type": "Offer",
    "price": "29.99",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "url": "https://example.com/product"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.5",
    "reviewCount": "127"
  }
}

BreadcrumbList

{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {"@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com"},
    {"@type": "ListItem", "position": 2, "name": "Category", "item": "https://example.com/category"},
    {"@type": "ListItem", "position": 3, "name": "Current Page"}
  ]
}

Required vs Recommended Fields

Schema Type Required Fields Recommended Fields
Article headline, author, datePublished, image dateModified, publisher, description
FAQPage mainEntity (Question + Answer)
HowTo name, step totalTime, estimatedCost, image
Product name, offers (price + currency + availability) brand, sku, aggregateRating, image
LocalBusiness name, address phone, hours, geo, image, priceRange
Event name, startDate, location endDate, offers, image, performer
Person name jobTitle, url, sameAs, image

Common Mistakes

  1. Missing required fields — always check per-type requirements
  2. Incorrect date format — use ISO 8601 (YYYY-MM-DDTHH:MM:SSZ)
  3. Markup does not match visible content — schema must reflect what users see
  4. Using Microdata instead of JSON-LD — Google recommends JSON-LD
  5. Nesting errors — validate JSON syntax before deploying
  6. Duplicate schema — one schema block per type per page
  7. Self-referencing Organization — publisher should be the organization, not the page

Integration with Other Skills

  • aeo-geo-optimizer — Schema is a key AEO signal; implement types recommended by the AEO audit
  • technical-seo-audit — Audit identifies missing/broken schema; this skill generates the fixes
  • seo-content-writer — Content structure should align with schema structure