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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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",
…
The line at the top of this page pins the label git:20260211.ed7ff86, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_bwodetfybg4jlx5m
GET https://markdownregistry.com/api/v1/resolve?ref=openclaudia/openclaudia-skills/schema-markup
GET https://markdownregistry.com/api/v1/blob/4e3a29b9d8d93a8d633807e9dbbc8c31cb8e070814c019f8b71f9e2fc59205ba
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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