schema
coreyhaines31/marketingskills
Add schema markup and structured data to enable rich results in Google search.
What is schema?
This skill helps you implement schema.org markup (JSON-LD) on your pages so search engines understand your content and display enhanced results like star ratings, FAQs, breadcrumbs, and knowledge panels. Use it when you want to add or fix structured data for better search visibility.
- Implement JSON-LD schema markup for common page types (Article, Product, Organization, FAQPage, BreadcrumbList, etc.)
- Validate schema against Google's Rich Results Test and schema.org standards
- Combine multiple schema types on a single page using @graph
- Optimize schema for specific rich results (star ratings, FAQ snippets, knowledge panels)
- Diagnose and fix existing schema errors and missing required properties
How to install schema
npx skills add https://github.com/coreyhaines31/marketingskills --skill schemaHow to use schema
- 1.Identify your page type and target rich results (Article, Product, FAQPage, etc.)
- 2.Gather required data: headlines, images, dates, prices, ratings, or Q&A pairs
- 3.Generate JSON-LD schema using the appropriate schema.org type
- 4.Place the JSON-LD block in your page's <head> or end of <body>
- 5.Test using Google Rich Results Test at https://search.google.com/test/rich-results
- 6.Validate with Schema.org Validator at https://validator.schema.org/
- 7.Monitor Search Console Enhancements reports for errors or warnings
Use cases
- Add product schema to e-commerce pages to show prices and ratings in search results
- Implement FAQ schema on support pages to display Q&A snippets in Google
- Create breadcrumb schema for better navigation understanding and display
- Add article/blog schema with author, date, and image for rich article results
- Set up organization schema on company homepage for knowledge panel eligibility
- SEO specialists optimizing for rich results
- Web developers implementing structured data
- E-commerce teams wanting product rich results
- Content teams managing blogs and articles
- Local business owners targeting knowledge panels
schema FAQ
Schema markup is structured data that helps search engines understand your content better. It's one part of SEO. For broader SEO issues like keyword optimization and site architecture, use the seo-audit skill.
Use JSON-LD. Google recommends it, it's easier to implement and maintain, and it doesn't clutter your HTML.
Yes. Use @graph to combine multiple types (e.g., Organization + WebSite + BreadcrumbList) in a single JSON-LD block.
Check that required properties are present, dates are ISO 8601 format, URLs are fully qualified, and values match the page content. Use the Rich Results Test and Schema.org Validator to identify specific errors.
Create a component that renders schema as JSON-LD, ensure it's server-side rendered for SEO, and serialize your data to valid JSON-LD format.
Full instructions (SKILL.md)
Source of truth, from coreyhaines31/marketingskills.
name: schema 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. metadata: version: 2.0.0
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
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?
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
| Type | Use For | Required Properties |
|---|---|---|
| Organization | Company homepage/about | name, url |
| WebSite | Homepage (search box) | 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
Quick Reference
Organization (Company Page)
Required: name, url Recommended: logo, sameAs (social profiles), contactPoint
Article/BlogPosting
Required: headline, image, datePublished, author Recommended: dateModified, publisher, description
Product
Required: name, image, offers (price + availability) Recommended: sku, brand, aggregateRating, review
FAQPage
Required: mainEntity (array of Question/Answer pairs)
BreadcrumbList
Required: itemListElement (array with position, name, item)
Multiple Schema Types
You can combine multiple schema types on one page using @graph:
{
"@context": "https://schema.org",
"@graph": [
{ "@type": "Organization", ... },
{ "@type": "WebSite", ... },
{ "@type": "BreadcrumbList", ... }
]
}
Validation and Testing
Tools
- Google Rich Results Test: https://search.google.com/test/rich-results
- Schema.org Validator: https://validator.schema.org/
- Search Console: Enhancements reports
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
Implementation
Static 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
Output Format
Schema Implementation
// Full JSON-LD code block
{
"@context": "https://schema.org",
"@type": "...",
// Complete markup
}
Testing Checklist
- Validates in Rich Results Test
- No errors or warnings
- Matches page content
- All required properties included
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?
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
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