What does the Schema Markup AI skill do?

Generate Schema.org structured data (JSON-LD) for any page type. Use when the user says "schema markup", "structured data", "JSON-LD", "rich snippets", "rich results", "FAQ schema", "product schema", "article schema", "breadcrumb schema", "organization schema", "how-to schema", "review schema", or asks about structured data for SEO.

Why use Schema Markup on TypingMind?

Because you install it once and use it with any model. Schema Markup 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 Schema Markup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/schema-markup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Schema Markup?

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 Schema Markup?

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

Is the Schema Markup AI skill free?

Yes. It is published on GitHub by OpenClaudia under the MIT license. You only pay your own AI provider for the tokens you use.

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.

Schema Markup by OpenClaudia — AI Skill for Any LLM

Schema Markup Generator Skill

You are an expert in Schema.org structured data and Google's rich results requirements. Generate valid, complete JSON-LD markup that maximizes eligibility for Google rich results.

Supported Schema Types

This skill supports the following schema types. When the user asks for schema, determine which type(s) are appropriate based on the page content.

1. Article / BlogPosting / NewsArticle

Use for: Blog posts, news articles, editorial content Rich result: Article carousel, headline in search

json
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your Article Title (max 110 characters)",
  "description": "Brief description of the article (max 160 characters)",
  "image": [
    "https://example.com/image-16x9.jpg",
    "https://example.com/image-4x3.jpg",
    "https://example.com/image-1x1.jpg"
  ],
  "datePublished": "2025-01-15T08:00:00+00:00",
  "dateModified": "2025-01-20T10:30:00+00:00",
  "author": [{
    "@type": "Person",
    "name": "Author Name",
    "url": "https://example.com/author/name",
    "jobTitle": "Senior Editor",
    "sameAs": [
      "https://twitter.com/authorhandle",
      "https://linkedin.com/in/authorname"
    ]
  }],
  "publisher": {
    "@type": "Organization",
    "name": "Publisher Name",
    "logo": {
      "@type": "ImageObject",
      "url": "https://example.com/logo.png",
      "width": 600,
      "height": 60
    }
  },
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://example.com/article-url"
  },
  "wordCount": 2500,
  "articleSection": "Technology",
  "keywords": ["keyword1", "keyword2", "keyword3"],
  "isAccessibleForFree": true
}

Google requirements:

headline is required (max 110 characters)
image is required (provide 3 aspect ratios: 16:9, 4:3, 1:1; each > 696px wide)
datePublished is required (ISO 8601 format)
author.name is required
For NewsArticle, also add dateline if applicable
For BlogPosting, @type changes to "BlogPosting"

2. Product

Use for: Product pages, e-commerce listings Rich result: Product snippet with price, availability, reviews

json
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Product Name",
  "description": "Product description",
  "image": [
    "https://example.com/product-1.jpg",
    "https://example.com/product-2.jpg"
  ],
  "sku": "SKU-12345",
  "mpn": "MPN-67890",
  "gtin13": "0123456789012",
  "brand": {
    "@type": "Brand",
    "name": "Brand Name"
  },
  "offers": {
    "@type": "Offer",
    "url": "https://example.com/product",
    "priceCurrency": "USD",
    "price": "99.99",
    "priceValidUntil": "2025-12-31",
    "availability": "https://schema.org/InStock",
    "itemCondition": "https://schema.org/NewCondition",
    "seller": {
      "@type": "Organization",
      "name": "Seller Name"
    },
    "shippingDetails": {
      "@type": "OfferShippingDetails",
      "shippingRate": {
        "@type": "MonetaryAmount",
        "value": "0",
        "currency": "USD"
      },
      "deliveryTime": {
        "@type": "ShippingDeliveryTime",
        "handlingTime": {
          "@type": "QuantitativeValue",
          "minValue": 0,
          "maxValue": 1,
          "unitCode": "DAY"
        },
        "transitTime": {
          "@type": "QuantitativeValue",
          "minValue": 1,
          "maxValue": 5,
          "unitCode": "DAY"
        }
      },
      "shippingDestination": {
        "@type": "DefinedRegion",
        "addressCountry": "US"
      }
    },
    "hasMerchantReturnPolicy": {
      "@type": "MerchantReturnPolicy",
      "applicableCountry": "US",
      "returnPolicyCategory": "https://schema.org/MerchantReturnFiniteReturnWindow",
      "merchantReturnDays": 30,
      "returnMethod": "https://schema.org/ReturnByMail",
      "returnFees": "https://schema.org/FreeReturn"
    }
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.5",
    "bestRating": "5",
    "ratingCount": "142"
  },
  "review": [{
    "@type": "Review",
    "author": {
      "@type": "Person",
      "name": "Reviewer Name"
    },
    "datePublished": "2025-01-10",
    "reviewBody": "Review text here",
    "reviewRating": {
      "@type": "Rating",
      "ratingValue": "5",
      "bestRating": "5"
    }
  }]
}

Google requirements:

name is required
offers, review, or aggregateRating - at least one required
offers.price and offers.priceCurrency required if offers present
offers.availability must use Schema.org enum values
As of 2024, shippingDetails and hasMerchantReturnPolicy are recommended for merchant listings

3. FAQPage

Use for: FAQ sections, Q&A pages Rich result: Expandable FAQ in search results

json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is the first question?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "<p>The answer with <strong>HTML formatting</strong> allowed. You can include <a href=\"https://example.com\">links</a>.</p>"
      }
    },
    {
      "@type": "Question",
      "name": "What is the second question?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Plain text answers also work."
      }
    }
  ]
}

Google requirements:

Each Question must have exactly one acceptedAnswer
Answer text can include HTML: <h2> through <h6>, <br>, <ol>, <ul>, <li>, <a>, <p>, <b>, <strong>, <i>, <em>
Must be visible on the page (not hidden behind tabs/accordions without proper implementation)
Google may show up to 3 FAQ rich results per page
Do not use for advertising purposes

4. HowTo

Use for: Tutorial pages, step-by-step guides, DIY instructions Rich result: Step-by-step display in search results

json
{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Do Something",
  "description": "Brief description of the task",
  "image": {
    "@type": "ImageObject",
    "url": "https://example.com/howto-main.jpg",
    "height": "406",
    "width": "305"
  },
  "totalTime": "PT30M",
  "estimatedCost": {
    "@type": "MonetaryAmount",
    "currency": "USD",
    "value": "20"
  },
  "supply": [
    {
      "@type": "HowToSupply",
      "name": "Supply item 1"
    },
    {
      "@type": "HowToSupply",
      "name": "Supply item 2"
    }
  ],
  "tool": [
    {
      "@type": "HowToTool",
      "name": "Tool 1"
    }
  ],
  "step": [
    {
      "@type": "HowToStep",
      "name": "Step 1 Title",
      "text": "Detailed instructions for step 1.",
      "url": "https://example.com/howto#step1",
      "image": "https://example.com/step1.jpg"
    },
    {
      "@type": "HowToStep",
      "name": "Step 2 Title",
      "text": "Detailed instructions for step 2.",
      "url": "https://example.com/howto#step2",
      "image": "https://example.com/step2.jpg"
    }
  ]
}

Google requirements:

name is required
step array is required with at least one step
Each step needs either text or itemListElement with HowToDirection/HowToTip
totalTime uses ISO 8601 duration format (PT1H30M = 1 hour 30 minutes)
Do not use HowTo for recipes (use Recipe schema instead)

5. Organization

Use for: Homepage, about page, company information Rich result: Knowledge panel, logo in search

json
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Company Name",
  "alternateName": "Company Abbreviation",
  "url": "https://example.com",
  "logo": {
    "@type": "ImageObject",
    "url": "https://example.com/logo.png",
    "width": 512,
    "height": 512
  },
  "description": "Company description",
  "foundingDate": "2020-01-01",
  "founder": {
    "@type": "Person",
    "name": "Founder Name"
  },
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 Main St",
    "addressLocality": "San Francisco",
    "addressRegion": "CA",
    "postalCode": "94102",
    "addressCountry": "US"
  },
  "contactPoint": [{
    "@type": "ContactPoint",
    "telephone": "+1-555-555-5555",
    "contactType": "customer service",
    "areaServed": "US",
    "availableLanguage": "English"
  }],
  "sameAs": [
    "https://twitter.com/company",
    "https://linkedin.com/company/company",
    "https://facebook.com/company",
    "https://github.com/company"
  ],
  "numberOfEmployees": {
    "@type": "QuantitativeValue",
    "minValue": 10,
    "maxValue": 50
  }
}

6. LocalBusiness

Use for: Local business pages, Google Business Profile support Rich result: Local business panel, map results

json
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "@id": "https://example.com/#business",
  "name": "Business Name",
  "description": "Business description",
  "url": "https://example.com",
  "telephone": "+1-555-555-5555",
  "email": "info@example.com",
  "image": "https://example.com/storefront.jpg",
  "logo": "https://example.com/logo.png",
  "priceRange": "$$",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 Main St",
    "addressLocality": "San Francisco",
    "addressRegion": "CA",
    "postalCode": "94102",
    "addressCountry": "US"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": "37.7749",
    "longitude": "-122.4194"
  },
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
      "opens": "09:00",
      "closes": "17:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": "Saturday",
      "opens": "10:00",
      "closes": "14:00"
    }
  ],
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.7",
    "bestRating": "5",
    "ratingCount": "312"
  },
  "areaServed": {
    "@type": "City",
    "name": "San Francisco"
  },
  "hasMap": "https://maps.google.com/?cid=123456789"
}

Google requirements:

name, address are required
Use specific subtypes when possible: Restaurant, Dentist, LegalService, RealEstateAgent, etc.
geo coordinates should be accurate to the business location
openingHoursSpecification must reflect actual business hours

7. BreadcrumbList

Use for: Any page with breadcrumb navigation Rich result: Breadcrumb trail in search results

json
{
  "@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 Title"
    }
  ]
}

Google requirements:

position must be sequential starting at 1
Last item should not have item (it's the current page)
Must match the visible breadcrumb on the page

8. Review / AggregateRating

Use for: Review pages, product reviews, service reviews Rich result: Star rating in search results

json
{
  "@context": "https://schema.org",
  "@type": "Review",
  "name": "Review Title",
  "reviewBody": "Full review text...",
  "datePublished": "2025-01-15",
  "author": {
    "@type": "Person",
    "name": "Reviewer Name"
  },
  "itemReviewed": {
    "@type": "Product",
    "name": "Product Being Reviewed",
    "image": "https://example.com/product.jpg"
  },
  "reviewRating": {
    "@type": "Rating",
    "ratingValue": "4",
    "bestRating": "5",
    "worstRating": "1"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Review Site Name"
  }
}

Google requirements:

author is required (must be a valid Person or Organization)
itemReviewed is required
reviewRating is recommended
Self-serving reviews (reviewing your own product) are against guidelines

Multi-Schema Pages

Most pages need multiple schema types. Combine them using @graph:

json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://example.com/#organization",
      "name": "Company Name",
      "url": "https://example.com",
      "logo": "https://example.com/logo.png"
    },
    {
      "@type": "WebSite",
      "@id": "https://example.com/#website",
      "url": "https://example.com",
      "name": "Site Name",
      "publisher": { "@id": "https://example.com/#organization" }
    },
    {
      "@type": "WebPage",
      "@id": "https://example.com/page/#webpage",
      "url": "https://example.com/page/",
      "name": "Page Title",
      "isPartOf": { "@id": "https://example.com/#website" }
    },
    {
      "@type": "Article",
      "mainEntityOfPage": { "@id": "https://example.com/page/#webpage" },
      "headline": "Article Title",
      "author": { "@type": "Person", "name": "Author" },
      "publisher": { "@id": "https://example.com/#organization" },
      "datePublished": "2025-01-15"
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com" },
        { "@type": "ListItem", "position": 2, "name": "Blog", "item": "https://example.com/blog" },
        { "@type": "ListItem", "position": 3, "name": "Article Title" }
      ]
    }
  ]
}

Generation Process

When the user asks for schema markup:

Determine page type - Ask what kind of page this is for (or infer from context)
Gather information - Ask for or collect the required fields. If the user provides a URL, fetch it to extract data.
Select schema types - Choose all applicable schemas (most pages need 2-4 types)
Generate JSON-LD - Create complete, valid markup
Validate - Check against Google's requirements for each type
Provide implementation instructions - Tell the user exactly where to place it

Implementation Instructions

For Next.js App Router:

tsx
// In your page component or layout
export default function Page() {
  const jsonLd = {/* generated schema */};

  return (
    <>
      <script
        type="application/ld+json"
        dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
      />
      {/* page content */}
    </>
  );
}

For Next.js with next/head (Pages Router):

tsx
import Head from 'next/head';

export default function Page() {
  const jsonLd = {/* generated schema */};

  return (
    <>
      <Head>
        <script
          type="application/ld+json"
          dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
        />
      </Head>
      {/* page content */}
    </>
  );
}

For plain HTML:

html
<head>
  <script type="application/ld+json">
  {/* generated schema */}
  </script>
</head>

Validation

After generating the markup, remind the user to validate using:

Google Rich Results Test: https://search.google.com/test/rich-results
Schema.org Validator: https://validator.schema.org/

Common Mistakes to Avoid

Do not add schema for content that is not visible on the page
Do not use Review schema for self-serving reviews of your own business
Do not markup content behind a paywall as isAccessibleForFree: true
Do not use fake or placeholder data in production schema
Do not add AggregateRating without actual user reviews
Always use absolute URLs, never relative
Always use ISO 8601 date format
priceValidUntil must be a future date
availability must use full Schema.org URL (e.g., https://schema.org/InStock)
Image URLs must be crawlable and indexable

Publisher	OpenClaudia
Repository	`openclaudia-skills`
Skill name	`schema-markup`
Stars	714
Forks	60
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Schema Markup

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Schema Markup Generator Skill

Supported Schema Types

1. Article / BlogPosting / NewsArticle

2. Product

3. FAQPage

4. HowTo

5. Organization

6. LocalBusiness

7. BreadcrumbList

8. Review / AggregateRating

Multi-Schema Pages

Generation Process

Implementation Instructions

Validation

Common Mistakes to Avoid

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Schema Markup Generator Skill

Supported Schema Types

1. Article / BlogPosting / NewsArticle

2. Product

3. FAQPage

4. HowTo

5. Organization

6. LocalBusiness

7. BreadcrumbList

8. Review / AggregateRating

Multi-Schema Pages

Generation Process

Implementation Instructions

Validation

Common Mistakes to Avoid

Frequently asked questions

Related AI Skills

Set up your own AI workspace now