schema
The facts
Its description
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," "breadcrumb schema," "Google rich results," "knowledge panel," "star ratings in search," or "add structured data." Use this whenever someone wants their pages to show enhanced results in Google. For broader SEO issues, see seo-audit. For AI search optimization, see ai-seo.
The description the agent reads to decide when to use it.
When it starts
A person asking for help adding, fixing, or validating schema markup / structured data on their site — JSON-LD, rich snippets, FAQ/product/review/breadcrumb schema — or asking why their pages aren't showing enhanced results in Google. It also fires when someone asks whether a particular search appearance is still achievable with markup.
Things a person might say (the model's guesses)
- “Can you add JSON-LD product schema to our pricing page so we get star ratings in Google?”
- “Our blog posts aren't showing rich snippets — is our structured data set up wrong?”
- “We want to add FAQ schema to our help center pages, can you write the code?”
A model's summary of when it is used.
Files it mentions
references/schema-examples.md
Files the text names, such as ones to read or write. Found by matching words, so treat them as pointers.
What it leads to
- an alternative: ai-seo for AI search optimization line 3
- an alternative: seo-audit for broader SEO issues line 3
Other skills this one hands off to, calls, requires or offers instead, as a model read them.
What leads to it
- pricing hands off to this for AI-readiness fixes pricing, line 250
- reverse-engineer-marketing hands off to this for location page plays reverse-engineer-marketing/care-services.md, line 69
- ai-seo calls this ai-seo, line 361
- programmatic-seo calls this when adding schema markup to page templates programmatic-seo, line 240
- seo-audit calls this for markup implementation seo-audit/local-seo.md, line 69
Other skills that hand off to this one, call it, require it or offer it instead, as a model read them.
Licence
MIT, from LICENSE
The terms its author shares it under, which let it be shown here.
Other settings
metadata: version: 2.0.2
More settings at the top of the file, shown as written.
Other files in this skill (2) Close
The text
Most marks come from matching words in the file, so treat them as pointers.
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.
Raw lines 1 to 11Initial Assessment
Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before implementing schema, understand:
- Page Type - What kind of page? What's the primary content? What rich results are possible?
- Current State - Any existing schema? Errors in implementation? Which rich results already appearing?
- Goals - Which rich results are you targeting? What's the business value?
Raw lines 12 to 26
Core Principles
Raw lines 27 to 281. 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
Raw lines 44 to 50
Common Schema Types
| Type | Use For | Required Properties |
|---|---|---|
| Organization | Company homepage/about | name, url |
| WebSite | Homepage/site identity | name, url |
| Article | Blog posts, news | headline, image, datePublished, author |
| Product | Product pages | name, image, offers |
| SoftwareApplication | SaaS/app pages | name, offers |
| FAQPage | FAQ content | mainEntity (Q&A array) |
| HowTo | Tutorials | name, step |
| BreadcrumbList | Any page with breadcrumbs | itemListElement |
| LocalBusiness | Local business pages | name, address |
| Event | Events, webinars | name, startDate, location |
For complete JSON-LD examples: See references/schema-examples.md
Raw lines 51 to 67Check Google Feature Support First
Schema.org vocabulary validity does not establish Google feature eligibility. Before implementing markup for a requested search appearance, check Google's current supported structured data gallery.
- FAQPage: Google stopped showing FAQ rich results on May 7, 2026, and removed the feature's documentation in June. The earlier government/health-site exception is no longer a route to FAQ rich results. See Google's documentation updates.
- HowTo: Google retired HowTo rich results in September 2023. See the retirement announcement.
- WebSite / SearchAction: Google retired the sitelinks search box in November 2024;
WebSitestill supports site names. See the search box announcement.
These types can still describe matching visible content in Schema.org. Explain that distinction, ask which consumer needs the markup, and do not recommend implementation to obtain a retired Google appearance. Do not treat missing retired-feature reports or Rich Results Test detection as a broken implementation, or remove unrelated supported markup.
Raw lines 68 to 79
Quick Reference
Raw lines 80 to 81Organization (Company Page)
Required: name, url Recommended: logo, sameAs (social profiles), contactPoint
Raw lines 82 to 85Article/BlogPosting
Required: headline, image, datePublished, author Recommended: dateModified, publisher, description
Raw lines 86 to 89Product
Required: name, image, offers (price + availability) Recommended: sku, brand, aggregateRating, review
Raw lines 90 to 93FAQPage
Required: mainEntity (array of Question/Answer pairs) Optional semantic markup for visible FAQs; not a way to obtain Google FAQ rich results. Check the feature-support guidance above before offering code.
Raw lines 94 to 97Multiple Schema Types
You can combine multiple schema types on one page using @graph:
{
"@context": "https://schema.org",
"@graph": [
{ "@type": "Organization", ... },
{ "@type": "WebSite", ... },
{ "@type": "BreadcrumbList", ... }
]
}Raw lines 103 to 119
Validation and Testing
Raw lines 120 to 121Tools
- Google Rich Results Test: https://search.google.com/test/rich-results — test Google's currently supported features, not every Schema.org type
- Schema.org Validator: https://validator.schema.org/
- Search Console: available enhancement reports for supported features; retired types need not have a report
Common Errors
Missing required properties - Check Google's documentation for required fields
Invalid values - Dates must be ISO 8601, URLs fully qualified, enumerations exact
Mismatch with page content - Schema doesn't match visible content
Raw lines 127 to 136
Implementation
Raw lines 137 to 138Static Sites
- Add JSON-LD directly in HTML template
- Use includes/partials for reusable schema
Dynamic Sites (React, Next.js)
- Component that renders schema
- Server-side rendered for SEO
- Serialize data to JSON-LD
CMS / WordPress
- Plugins (Yoast, Rank Math, Schema Pro)
- Theme modifications
- Custom fields to structured data
Raw lines 148 to 154
Output Format
Raw lines 155 to 156Schema Implementation
// Full JSON-LD code block
{
"@context": "https://schema.org",
"@type": "...",
// Complete markup
}Raw lines 157 to 166Testing Checklist
- [ ] Requested Google appearance is currently supported, or a separate semantic consumer is identified
- [ ] Validates in Schema.org Validator; supported Google features also pass Rich Results Test
- [ ] Required-field errors resolved; recommended-field warnings reviewed
- [ ] Matches page content
- [ ] All required properties included
Raw lines 167 to 175
Task-Specific Questions
- What type of page is this?
- What rich results are you hoping to achieve?
- What data is available to populate the schema?
- Is there existing schema on the page?
- What's your tech stack?
Raw lines 176 to 185
Related Skills
- seo-audit: For overall SEO including schema review
- ai-seo: For AI search optimization (schema helps AI understand content)
- programmatic-seo: For templated schema at scale
- site-architecture: For breadcrumb structure and navigation schema planning
From coreyhaines31/marketingskills at 88c79f6, 2026-10-30. Skills read by DeepSeek V4.1 Flash on 2026-11-04. Summary and techniques by Claude Opus 5.5 on 2026-11-06.