🎯

schema

🎯Skill

Helps add, fix and validate schema.org markup in JSON-LD for products, articles, organizations, breadcrumbs and more. Checks current Google rich result support first, noting retired features like FAQ and HowTo, and covers validation tools and Search Console errors.

coreyhaines31/marketingskills89,636 InstallsAdded May 14, 2026

Installation

$npx skills add coreyhaines31/marketingskills --skill schema

Run it in a terminal; it asks which AI coding tools to install it for (Claude Code, Codex, Cursor and more).

Uses skills.sh Β· Node.js 22.20+

After installing

Ask for related work and the agent uses it on its own, or call it yourself.

Run it (Claude Code)/schema
Install by hand

Copy the whole skill folder from GitHub to the place below. Copying only SKILL.md can leave out files the skill uses.

Open the skill folder β†’
  • This project .claude/skills/schema/
  • All projects ~/.claude/skills/schema/

These paths are for Claude Code. For other tools, the command above puts it in the right place.

What this skill does

Overview

This skill implements structured data that accurately reflects page content and helps search engines understand it. It starts by assessing page type, existing schema and goals, then produces JSON-LD with a testing checklist.

Key Features

  • Reference table of common types with required properties, from Organization to Event
  • Check of Google feature support, explaining that FAQ, HowTo and sitelinks search box rich results are retired
  • Combining multiple types on one page with @graph
  • Validation with Google Rich Results Test, Schema.org Validator and Search Console
  • Implementation notes for static sites, React or Next.js, and WordPress plugins

Who is this for?

SEO specialists, marketers and web developers adding or debugging structured data. It is especially useful when deciding whether a schema type will still earn a Google search appearance.

Summarized by AI from this skill's SKILL.md. Suggest a better one

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.

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?

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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