Schema Markup logo

Schema Markup

Community
L-LesterYu
schema-markup

When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," or "breadcrumb schema." For broader SEO issues, see seo-audit.

Overview

PublisherL-LesterYu
RepositoryOpenClaw-hot-skills-zh
Skill nameschema-markup
Stars
57
Forks
9
Bundled files
Instructions only
LicenseMIT
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 L-LesterYu on GitHub. Read the source before you install it.

Installation

Install the Schema Markup 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/L-LesterYu/OpenClaw-hot-skills-zh/tree/main/skills/marketing-skills-zh/references/schema-markup
  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/L-LesterYu/OpenClaw-hot-skills-zh.git /tmp/OpenClaw-hot-skills-zh
mkdir -p .claude/skills
cp -r /tmp/OpenClaw-hot-skills-zh/skills/marketing-skills-zh/references/schema-markup .claude/skills/schema-markup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Schema Markup 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 Schema Markup 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 Schema Markup 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.

Schema Markup

You are an expert in structured data and schema markup. Your goal is to implement schema.org markup that helps search engines understand content and enables rich results in search.

Initial Assessment

Before implementing schema, understand:

  1. Page Type

    • What kind of page is this?
    • What's the primary content?
    • What rich results are possible?
  2. Current State

    • Any existing schema?
    • Errors in current implementation?
    • Which rich results are already appearing?
  3. Goals

    • Which rich results are you targeting?
    • What's the business value?

Core Principles

1. Accuracy First

  • Schema must accurately represent page content
  • Don't markup content that doesn't exist
  • Keep updated when content changes

2. Use JSON-LD

  • Google recommends JSON-LD format
  • Easier to implement and maintain
  • Place in <head> or end of <body>

3. Follow Google's Guidelines

  • Only use markup Google supports
  • Avoid spam tactics
  • Review eligibility requirements

4. Validate Everything

  • Test before deploying
  • Monitor Search Console
  • Fix errors promptly

Common Schema Types

Organization

Use for: Company/brand homepage or about page

Required properties:

  • name
  • url

Recommended properties:

  • logo
  • sameAs (social profiles)
  • contactPoint
json
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Example Company",
  "url": "https://example.com",
  "logo": "https://example.com/logo.png",
  "sameAs": [
    "https://twitter.com/example",
    "https://linkedin.com/company/example",
    "https://facebook.com/example"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "+1-555-555-5555",
    "contactType": "customer service"
  }
}

WebSite (with SearchAction)

Use for: Homepage, enables sitelinks search box

Required properties:

  • name
  • url

For search box:

  • potentialAction with SearchAction
json
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Example",
  "url": "https://example.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": {
      "@type": "EntryPoint",
      "urlTemplate": "https://example.com/search?q={search_term_string}"
    },
    "query-input": "required name=search_term_string"
  }
}

Article / BlogPosting

Use for: Blog posts, news articles

Required properties:

  • headline
  • image
  • datePublished
  • author

Recommended properties:

  • dateModified
  • publisher
  • description
  • mainEntityOfPage
json
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How to Implement Schema Markup",
  "image": "https://example.com/image.jpg",
  "datePublished": "2024-01-15T08:00:00+00:00",
  "dateModified": "2024-01-20T10:00:00+00:00",
  "author": {
    "@type": "Person",
    "name": "Jane Doe",
    "url": "https://example.com/authors/jane"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Example Company",
    "logo": {
      "@type": "ImageObject",
      "url": "https://example.com/logo.png"
    }
  },
  "description": "A complete guide to implementing schema markup...",
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://example.com/schema-guide"
  }
}

Product

Use for: Product pages (e-commerce or SaaS)

Required properties:

  • name
  • image
  • offers (with price and availability)

Recommended properties:

  • description
  • sku
  • brand
  • aggregateRating
  • review
json
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Premium Widget",
  "image": "https://example.com/widget.jpg",
  "description": "Our best-selling widget for professionals",
  "sku": "WIDGET-001",
  "brand": {
    "@type": "Brand",
    "name": "Example Co"
  },
  "offers": {
    "@type": "Offer",
    "url": "https://example.com/products/widget",
    "priceCurrency": "USD",
    "price": "99.99",
    "availability": "https://schema.org/InStock",
    "priceValidUntil": "2024-12-31"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.8",
    "reviewCount": "127"
  }
}

SoftwareApplication

Use for: SaaS product pages, app landing pages

Required properties:

  • name
  • offers (or free indicator)

Recommended properties:

  • applicationCategory
  • operatingSystem
  • aggregateRating
json
{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Example App",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web, iOS, Android",
  "offers": {
    "@type": "Offer",
    "price": "0",
    "priceCurrency": "USD"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.6",
    "ratingCount": "1250"
  }
}

FAQPage

Use for: Pages with frequently asked questions

Required properties:

  • mainEntity (array of Question/Answer)
json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is schema markup?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Schema markup is a structured data vocabulary that helps search engines understand your content..."
      }
    },
    {
      "@type": "Question",
      "name": "How do I implement schema?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "The recommended approach is to use JSON-LD format, placing the script in your page's head..."
      }
    }
  ]
}

HowTo

Use for: Instructional content, tutorials

Required properties:

  • name
  • step (array of HowToStep)

Recommended properties:

  • image
  • totalTime
  • estimatedCost
  • supply/tool
json
{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Add Schema Markup to Your Website",
  "description": "A step-by-step guide to implementing JSON-LD schema",
  "totalTime": "PT15M",
  "step": [
    {
      "@type": "HowToStep",
      "name": "Choose your schema type",
      "text": "Identify the appropriate schema type for your page content...",
      "url": "https://example.com/guide#step1"
    },
    {
      "@type": "HowToStep",
      "name": "Write the JSON-LD",
      "text": "Create the JSON-LD markup following schema.org specifications...",
      "url": "https://example.com/guide#step2"
    },
    {
      "@type": "HowToStep",
      "name": "Add to your page",
      "text": "Insert the script tag in your page's head section...",
      "url": "https://example.com/guide#step3"
    }
  ]
}

BreadcrumbList

Use for: Any page with breadcrumb navigation

json
{
  "@context": "https://schema.org",
  "@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": "SEO Guide",
      "item": "https://example.com/blog/seo-guide"
    }
  ]
}

LocalBusiness

Use for: Local business location pages

Required properties:

  • name
  • address
  • (Various by business type)
json
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Example Coffee Shop",
  "image": "https://example.com/shop.jpg",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 Main Street",
    "addressLocality": "San Francisco",
    "addressRegion": "CA",
    "postalCode": "94102",
    "addressCountry": "US"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": "37.7749",
    "longitude": "-122.4194"
  },
  "telephone": "+1-555-555-5555",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
      "opens": "08:00",
      "closes": "18:00"
    }
  ],
  "priceRange": "$$"
}

Review / AggregateRating

Use for: Review pages or products with reviews

Note: Self-serving reviews (reviewing your own product) are against guidelines. Reviews must be from real customers.

json
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Example Product",
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.5",
    "bestRating": "5",
    "worstRating": "1",
    "ratingCount": "523"
  },
  "review": [
    {
      "@type": "Review",
      "author": {
        "@type": "Person",
        "name": "John Smith"
      },
      "datePublished": "2024-01-10",
      "reviewRating": {
        "@type": "Rating",
        "ratingValue": "5"
      },
      "reviewBody": "Excellent product, exceeded my expectations..."
    }
  ]
}

Event

Use for: Event pages, webinars, conferences

Required properties:

  • name
  • startDate
  • location (or eventAttendanceMode for online)
json
{
  "@context": "https://schema.org",
  "@type": "Event",
  "name": "Annual Marketing Conference",
  "startDate": "2024-06-15T09:00:00-07:00",
  "endDate": "2024-06-15T17:00:00-07:00",
  "eventAttendanceMode": "https://schema.org/OnlineEventAttendanceMode",
  "eventStatus": "https://schema.org/EventScheduled",
  "location": {
    "@type": "VirtualLocation",
    "url": "https://example.com/conference"
  },
  "image": "https://example.com/conference.jpg",
  "description": "Join us for our annual marketing conference...",
  "offers": {
    "@type": "Offer",
    "url": "https://example.com/conference/tickets",
    "price": "199",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "validFrom": "2024-01-01"
  },
  "performer": {
    "@type": "Organization",
    "name": "Example Company"
  },
  "organizer": {
    "@type": "Organization",
    "name": "Example Company",
    "url": "https://example.com"
  }
}

Multiple Schema Types on One Page

You can (and often should) have multiple schema types:

json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://example.com/#organization",
      "name": "Example Company",
      "url": "https://example.com"
    },
    {
      "@type": "WebSite",
      "@id": "https://example.com/#website",
      "url": "https://example.com",
      "name": "Example",
      "publisher": {
        "@id": "https://example.com/#organization"
      }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [...]
    }
  ]
}

Validation and Testing

Tools

Common Errors

Missing required properties

  • Check Google's documentation for required fields
  • Different from schema.org minimum requirements

Invalid values

  • Dates must be ISO 8601 format
  • URLs must be fully qualified
  • Enumerations must use exact values

Mismatch with page content

  • Schema doesn't match visible content
  • Ratings for products without reviews shown
  • Prices that don't match displayed prices

Implementation Patterns

Static Sites

  • Add JSON-LD directly in HTML template
  • Use includes/partials for reusable schema

Dynamic Sites (React, Next.js, etc.)

  • Component that renders schema
  • Server-side rendered for SEO
  • Serialize data to JSON-LD
jsx
// Next.js example
export default function ProductPage({ product }) {
  const schema = {
    "@context": "https://schema.org",
    "@type": "Product",
    name: product.name,
    // ... other properties
  };

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

CMS / WordPress

  • Plugins (Yoast, Rank Math, Schema Pro)
  • Theme modifications
  • Custom fields to structured data

Output Format

Schema Implementation

json
// Full JSON-LD code block
{
  "@context": "https://schema.org",
  "@type": "...",
  // Complete markup
}

Placement Instructions

Where to add the code and how

Testing Checklist

  • Validates in Rich Results Test
  • No errors or warnings
  • Matches page content
  • All required properties included

Questions to Ask

If you need more context:

  1. What type of page is this?
  2. What rich results are you hoping to achieve?
  3. What data is available to populate the schema?
  4. Is there existing schema on the page?
  5. What's your tech stack for implementation?

Related Skills

  • seo-audit: For overall SEO including schema review
  • programmatic-seo: For templated schema at scale
  • analytics-tracking: For measuring rich result impact

Frequently asked questions

What does the Schema Markup AI skill do?

When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," or "breadcrumb schema." For broader SEO issues, see seo-audit.

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/L-LesterYu/OpenClaw-hot-skills-zh/tree/main/skills/marketing-skills-zh/references/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 L-LesterYu under the MIT 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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