Agent skill

Schema Markup

by OpenClaudia in OpenClaudia/openclaudia-skills

Generate Schema.org structured data (JSON-LD) for any page type.

MITAuto-check passedMarketing & SEO

Install Schema Markup

skills CLI
$ npx skills add OpenClaudia/openclaudia-skills --skill schema-markup -a claude-code

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

GitHub CLI
$ gh skill install OpenClaudia/openclaudia-skills schema-markup --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/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/schema-markup .claude/skills/schema-markup && 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
schema-markup
GitHub stars
713
Token cost
~4k tokens
SKILL.md length
681 words
Files
1
Skills in repo
74
Repo updated
First seen
Licence
MIT

At a glance

Generate Schema.org structured data (JSON-LD) for any page type.

  • Works in 8 steps: Article / BlogPosting / NewsArticle → Product → FAQPage → …
  • The user says schema markup
  • SKILL.md covers Supported Schema Types, Multi-Schema Pages, Generation Process and Implementation Instructions, plus 2 more sections
  • Reaches schema.org and twitter.com

What it does

Schema Markup is an agent skill from OpenClaudia/openclaudia-skills. 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.

Its SKILL.md is about 4k 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. The repository describes itself as: 77 open-source marketing skills for Claude Code, Codex, and other AI coding agents. SEO, content, email, ads, analytics, and growth. The licence is MIT.

When your agent uses it

  • The user says schema markup
  • Structured data
  • Breadcrumb schema
  • Organization schema

Example prompts

  • “schema markup”
  • “structured data”
  • “JSON-LD”
  • “/schema-markup”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Article / BlogPosting / NewsArticle
  2. Product
  3. FAQPage
  4. HowTo
  5. Organization
  6. LocalBusiness
  7. BreadcrumbList
  8. Review / AggregateRating

What it can do on your machine

Read from SKILL.md and the folder at commit 28bf209. 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 json, typescript and html).

    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
    • twitter.com
    • linkedin.com
    • facebook.com
    • github.com
    • maps.google.com

    Also links to:

    • search.google.com
    • validator.schema.org

    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

Schema Markup loads about 4k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 681 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~4k

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 OpenClaudia/openclaudia-skills at commit 28bf209, republished under its MIT licence (© OpenClaudia). 681 words, ~4,045 tokens.

Download SKILL.mdSave it as .claude/skills/schema-markup/SKILL.md (or your agent's skills folder).
name
schema-markup
description
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.

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

Show full SKILL.md (270 more words)Show less
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:

  1. Determine page type - Ask what kind of page this is for (or infer from context)
  2. Gather information - Ask for or collect the required fields. If the user provides a URL, fetch it to extract data.
  3. Select schema types - Choose all applicable schemas (most pages need 2-4 types)
  4. Generate JSON-LD - Create complete, valid markup
  5. Validate - Check against Google's requirements for each type
  6. 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:

  1. Google Rich Results Test: https://search.google.com/test/rich-results
  2. 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

© OpenClaudia, 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/schema-markup of OpenClaudia/openclaudia-skills.

Open the folder on GitHubat commit 28bf209

Compare with similar skills

Schema Markup 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.

Schema Markup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Schema Markup this skillOpenClaudia/openclaudia-skills713—~4kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude11k—~2.8kAutomated safety check: NotesMIT
SEO Optimizerailabs-393/ai-labs-claude-skills4541 repos~3.2kAutomated safety check: PassMIT
Portaljs Add Dcatdatopian/portaljs2.4k1 repos~1.8kAutomated safety check: PassMIT
Schema Markupfreekmurze/dotfiles1k15 repos~1.2kAutomated safety check: PassNone

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    Build an interactive competitive-traffic report for any company and its rivals — monthly visits (SimilarWeb), organic search traffic and Domain Rating (Ahrefs) — as one self-contained HTML page with…

    713 GitHub stars~1.2k tokensUpdated 21 days ago
    Auto-check passed
  • Geo Difficulty

    OpenClaudia/openclaudia-skills

    Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is…

    713 GitHub stars~694 tokensUpdated 21 days ago
    Auto-check passed
  • Gsc Portfolio Audit

    OpenClaudia/openclaudia-skills

    Audit EVERY Google Search Console property at once — rank all sites by clicks and impressions with period-over-period deltas, then diff keywords per site to surface what is newly ranking, rising…

    713 GitHub stars~1k tokensUpdated 21 days ago
    Auto-check passed
  • Similarweb Traffic

    OpenClaudia/openclaudia-skills

    Fetch website traffic estimates (monthly visits, traffic sources, top countries, keywords, engagement, ranks) for any domain from SimilarWeb.

    713 GitHub stars~882 tokensUpdated 21 days ago
    Auto-check passed
  • Ahrefs Python

    OpenClaudia/openclaudia-skills

    Manages Ahrefs API usage in Python using ahrefs-python library.

    713 GitHub stars~1.9k tokensUpdated 21 days ago
    Auto-check passed
  • Ab Test Setup

    OpenClaudia/openclaudia-skills

    Design, plan, and analyze A/B tests with statistical rigor. An agent skill from OpenClaudia/openclaudia-skills.

    713 GitHub stars~1.7k tokensUpdated 21 days ago
    Auto-check passed

Categories

Questions about Schema Markup

What does Schema Markup do?

Generate Schema.org structured data (JSON-LD) for any page type. Schema Markup is an agent skill from OpenClaudia/openclaudia-skills.org structured data (JSON-LD) for any page type.

When should I use Schema Markup?

Schema Markup fits situations like: the user says schema markup; structured data; breadcrumb schema; organization schema.

How do I install Schema Markup in Claude Code?

Run `npx skills add OpenClaudia/openclaudia-skills --skill schema-markup -a claude-code`. Or copy the skill folder (skills/schema-markup in OpenClaudia/openclaudia-skills) into .claude/skills/schema-markup in your project. Claude Code loads it when a task matches its description.

How do I install Schema Markup in Codex?

Run `npx skills add OpenClaudia/openclaudia-skills --skill schema-markup -a codex`. Or copy the skill folder (skills/schema-markup in OpenClaudia/openclaudia-skills) into .agents/skills/schema-markup in your project. Codex loads it when a task matches its description.

Can I use Schema Markup 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 OpenClaudia/openclaudia-skills --skill schema-markup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/schema-markup, .gemini/skills/schema-markup, .github/skills/schema-markup and .opencode/skills/schema-markup in your project.

What does Schema Markup need to run?

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

Does Schema Markup access the network?

SKILL.md names 8 domains. In commands or code: schema.org, twitter.com, linkedin.com, facebook.com, github.com and maps.google.com; the agent is likely to contact these when it follows the instructions. As links in the text: search.google.com and validator.schema.org. This is read from the text; nothing was executed.

Is Schema Markup 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 Schema Markup use?

Schema Markup 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 Schema Markup use?

About 4k tokens (SKILL.md is roughly 16k 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 Schema Markup?

Skills that share tags, products or a category with Schema Markup: SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars), SEO Optimizer (ailabs-393/ai-labs-claude-skills, 454 stars) and Portaljs Add Dcat (datopian/portaljs, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Schema Markup?

OpenClaudia (a GitHub organization) maintains it in OpenClaudia/openclaudia-skills, which has 713 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on September 18, 2026.

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