Does this skill support JSON-LD format?

Yes, JSON-LD is the format recommended by Google and is the primary implementation method used by this skill for all structured data tasks.

Can it help fix Google Search Console schema errors?

Absolutely. This skill can diagnose and resolve 'missing field' or 'invalid value' errors reported in Search Console enhancement reports and the Rich Results Test.

Does it work with modern frameworks like Next.js or React?

Yes, it provides specific guidance and code snippets for implementing structured data within dynamic components, including serialization and SSR considerations.

Can I combine multiple schema types on one page?

Yes, the skill specializes in using the @graph approach to combine multiple schema entities on a single page efficiently and without redundancy.

Which schema types can this skill generate?

It covers all major types including Organization, WebSite, Article, Product, SoftwareApplication, FAQPage, HowTo, BreadcrumbList, LocalBusiness, and Event.

Schema Markup Expert

Name: Schema Markup Expert
Author: Kikobeats

byKikobeats

•

Automatización de Marketing

Implements and optimizes structured data to enhance search engine visibility and enable rich search results.

This skill transforms Claude into a structured data specialist capable of generating, validating, and debugging schema.org markup. It focuses on implementing high-quality JSON-LD for various content types—including products, FAQs, articles, and breadcrumbs—ensuring compliance with Google's rich result guidelines. By providing implementation patterns for static sites, React frameworks, and popular CMS platforms, it helps developers improve how search engines interpret and display their web content in SERPs.

Características Principales

01Generates valid JSON-LD for diverse schema types like FAQ, Product, and Article

02Validates existing structured data against Google Rich Result requirements

03Provides implementation patterns for static sites, Next.js, and CMS platforms

04Identifies and fixes common schema errors such as missing required properties

05Supports complex implementations using @graph for multiple entity types

0616 GitHub stars

Casos de Uso

01Implementing breadcrumb schema to improve navigational clarity in search results

02Adding FAQ schema to service pages to earn expandable rich results in search

03Optimizing e-commerce product pages with pricing, availability, and review markup

Características Principales

01Generates valid JSON-LD for diverse schema types like FAQ, Product, and Article

02Validates existing structured data against Google Rich Result requirements

03Provides implementation patterns for static sites, Next.js, and CMS platforms

04Identifies and fixes common schema errors such as missing required properties

05Supports complex implementations using @graph for multiple entity types

0616 GitHub stars

Casos de Uso

01Implementing breadcrumb schema to improve navigational clarity in search results

02Adding FAQ schema to service pages to earn expandable rich results in search

03Optimizing e-commerce product pages with pricing, availability, and review markup