Schema markup
Skill t0ddharris/compound-marketing/.claude/skills/schema-markup
Scale your marketing without sacrificing quality.
npx -y skills add t0ddharris/compound-marketing --skill schema-markupAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
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What its author says it does
Copied from the file, not written here
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-geo.
SKILL.md
4.8 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it
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:
Read /brain/positioning-and-messaging.md and /brain/truth.md 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
Output location: marketing/seo/[page-slug]/ — confirm the project slug with the user before creating files.
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-geo: For overall SEO including schema review
- programmatic-seo: For templated schema at scale
Gives 1 of the 12 instructions most seo skills give in ~1.0k tokens
Counted across 454 of the 460 authors here whose files we hold, read 2026-08-07
- implement structured data using JSON-LDin 29 of 454, across 25 files
- write unique meta descriptions under 160 charactersin 25 of 454, across 20 files
- verify one H1 exists per pagein 24 of 454, across 15 files
- maintain a single h1 per pagein 24 of 454, across 15 files
- use JSON-LD format for all schema markuphere, and in 23 of 454, across 16 files
- use descriptive anchor text for internal linksin 22 of 454, across 18 files
- add descriptive alt text to imagesin 19 of 454, across 15 files
- read product marketing context before auditingin 19 of 454, across 11 files
- write unique title tags under 60 charactersin 19 of 454, across 14 files
- add unique title and meta description per pagein 19 of 454, across 17 files
- fetch robots.txt and sitemap.xmlin 19 of 454, across 18 files
- Place the primary keyword in the first 100 wordsin 18 of 454, across 17 files
Said here and by no other author read
- test markup before deploying
- output testing checklist
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.