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Schema

Corey HainesCommunityCreated by Corey Haines

  • Skill
  • Tool integration
  • Software development
  • MIT
  • No issues found

From the author

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 by Corey Haines

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to implementing schema.org markup using JSON-LD. It assists users in defining the correct schema types for their content, ensuring accurate representation for search engines. The skill emphasizes adherence to Google's current guidelines, including awareness of retired features, and provides a framework for validating markup to ensure it matches visible page content.

What it does

  • Generates JSON-LD code blocks for various schema types like Organization, Product, and Article.
  • Provides guidance on combining multiple schema types using the @graph structure.
  • Advises on the correct placement of schema markup within HTML templates or components.
  • Assists in troubleshooting schema implementation errors and validation issues.
  • Clarifies current Google feature support for specific schema types.
  • Integrates with existing product marketing context to tailor schema data.

When to use it

  • When you need to add structured data to a website to help search engines interpret content.
  • When you want to implement or fix JSON-LD markup for specific page types.
  • When you need to verify if your current schema implementation meets technical requirements.
  • When you are unsure which schema types are appropriate for your content.

Advantages

  • Ensures schema markup is technically valid and accurately reflects page content.
  • Promotes the use of Google-recommended JSON-LD format.
  • Helps avoid common implementation pitfalls and outdated schema practices.
  • Provides a clear validation workflow using industry-standard testing tools.

Usage examples

“Can you generate the JSON-LD for a product page with a price and rating?”
The agent provides a valid JSON-LD block for the Product schema type, including required fields like name, image, and offers, and recommended fields like aggregateRating.
“How do I add breadcrumb schema to my website?”
The agent explains the BreadcrumbList schema requirements and provides a JSON-LD example with the necessary itemListElement array.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/coreyhaines31/schema/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip schema.zip -d .agents/skills

Documentation by Corey Haines

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

TypeUse ForRequired Properties
OrganizationCompany homepage/aboutname, url
WebSiteHomepage/site identityname, url
ArticleBlog posts, newsheadline, image, datePublished, author
ProductProduct pagesname, image, offers
SoftwareApplicationSaaS/app pagesname, offers
FAQPageFAQ contentmainEntity (Q&A array)
HowToTutorialsname, step
BreadcrumbListAny page with breadcrumbsitemListElement
LocalBusinessLocal business pagesname, address
EventEvents, webinarsname, 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.

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
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

Files

SKILL.md

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

TypeUse ForRequired Properties
OrganizationCompany homepage/aboutname, url
WebSiteHomepage/site identityname, url
ArticleBlog posts, newsheadline, image, datePublished, author
ProductProduct pagesname, image, offers
SoftwareApplicationSaaS/app pagesname, offers
FAQPageFAQ contentmainEntity (Q&A array)
HowToTutorialsname, step
BreadcrumbListAny page with breadcrumbsitemListElement
LocalBusinessLocal business pagesname, address
EventEvents, webinarsname, 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.

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
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

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Corey Haines
Publisher
Corey Haines (Community)
Source
coreyhaines31/marketingskills · skills/schema · commit 96798cf
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Corey Haines.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download schema.zip