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Corey Haines

Schema skill

When the user wants to add, fix, or validate schema markup (JSON-LD), or asks which type fits a page or whether some markup is allowed: product, review, recipe, FAQ, rich result eligibility (FAQ no longer earns Google rich results), Search Console errors. For broader SEO, see seo-audit. For AI search, see ai-seo.

$npx skills add coreyhaines31/marketingskills --skill schema
View this skill on GitHubcoreyhaines31/marketingskills/skills/schema/SKILL.md
Pack stars
59,590
Pack installs
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Alyn Score
88/99
Updated
19 h ago
License
MIT
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Corey Haines

Schema

Install Schema

Pick your agent. Every command is ready to paste.

$npx skills add coreyhaines31/marketingskills --skill schema

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads schema when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the schema skill”. In Codex, type $schema.

The skill itself

SKILL.md

FolderGitHub

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:

  1. Page Type - What kind of page? What's the primary content? What rich results are possible?

  2. Current State - Any existing schema? Errors in implementation? Which rich results already appearing?

  3. 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/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

Check 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; WebSite still 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.


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) Optional semantic markup for visible FAQs; not a way to obtain Google FAQ rich results. Check the feature-support guidance above before offering code.

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

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

  • 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

Task-Specific Questions

  1. What type of page is this?
  2. What rich results are you hoping to achieve?
  3. What data is available to populate the schema?
  4. Is there existing schema on the page?
  5. What's your tech stack?

  • 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

Tips for Schema

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 53 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Schema

What does the Schema skill do?

When the user wants to add, fix, or validate schema markup (JSON-LD), or asks which type fits a page or whether some markup is allowed: product, review, recipe, FAQ, rich result eligibility (FAQ no longer earns Google rich results), Search Console errors. For broader SEO, see seo-audit. For AI search, see ai-seo.

How do I install Schema?

Run "npx skills add coreyhaines31/marketingskills --skill schema" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Schema work in Cursor and Codex?

Yes. Schema uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Schema free?

Schema is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Schema?

Schema is published by Corey Haines in the coreyhaines31/marketingskills repository, together with 52 other skills.

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