Skills coreyhaines31 marketingskills

schema

Use it when:
You want star ratings or other rich results in Google, or need to add or fix structured data.
It does:
Matches the page to schema.org types such as Organization, Article, Product or BreadcrumbList, written as JSON-LD.
You get:
A complete JSON-LD code block and a testing checklist for the Rich Results Test and Schema.org Validator.
Knows that:
Google dropped FAQ rich results in May 2026, HowTo in 2023 and the sitelinks search box in 2024.
Unlike seo-audit:
That one, from the same repo, covers SEO broadly; this one only writes and checks structured data.

TL;DR

Schema markup is structured data, written in the schema.org vocabulary, that describes what a page contains, such as a product's price or an article's author, so search engines can show enhanced results. It reads your product marketing context if you have it (a shared file on your product, audience and positioning that the repo's product-marketing skill writes), then asks about the page type, existing markup and the rich results you want. Its rules: mark up only what's visible on the page, use JSON-LD, follow Google's guidelines, and test before deploying. A table lists the common types with their required properties, and several types can share one page through @graph. Before writing markup for a search appearance, it checks Google's current list of supported features: a type can be valid schema.org and still earn no rich result, and it won't recommend markup to chase a retired one. Implementation notes cover static sites, React and Next.js, and WordPress plugins. Optimizing for AI search goes to the repo's ai-seo skill.

Summarizes the skill at 96798cf.

npx skills add https://github.com/coreyhaines31/marketingskills --skill schema
Total Downloads
86,555 on skills.sh, Nov 9, 2026
Repo stars
59,261 coreyhaines31/marketingskills
First seen
May 14, 2026 on skills.sh
Weekly Downloads
4.1K
+50% over the 8 weeks to Nov 9
Weekly values
Week toInstalls
Sep 212,716
Sep 282,787
Oct 53,156
Oct 123,363
Oct 193,636
Oct 263,894
Nov 24,224
Nov 94,063
Category

SEO, copy, conversion, social media and e-commerce.

Type

Knowledge and rules the agent applies while it works: best practices, design principles, API references.

Effect

Adds no side effects of its own. It shapes how the agent thinks, writes or reviews. Guidelines and routers are always effect:none, even when the task they support edits code.

Needs

Instructions only. Works in any agent that supports skills.

Publisher

Everyone else. Unverified vendor claims default to community.

Topics

SKILL.md

From coreyhaines31/marketingskills at 96798cf. Checked daily, last changed Nov 6, 2026.

Frontmatter
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: 2.0.2

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.

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