Which schema types can this skill generate?

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

What is the Schema Markup skill for Claude Code?

It is a specialized capability that allows Claude to act as a structured data expert, helping you write, debug, and implement schema.org markup in JSON-LD format.

Does it support modern frameworks like Next.js?

Yes, it provides specific guidance for implementing dynamic structured data within React, Next.js, and other modern web frameworks.

Why is JSON-LD the preferred format?

JSON-LD is recommended by Google because it is easy to maintain, can be dynamically injected, and is separated from the HTML content of the page.

Can it help fix Google Search Console schema errors?

Absolutely. It is designed to identify missing required properties and invalid values that cause errors in the Google Rich Results test.

Structured Data & Schema Markup

Name: Structured Data & Schema Markup
Author: simplysmartai

bysimplysmartai

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营销自动化

Implements and optimizes schema.org structured data to enhance search engine visibility and rich snippet eligibility.

The Schema Markup skill equips Claude with the expertise to generate, fix, and optimize JSON-LD structured data for any web project. It ensures your site communicates effectively with search engines by following Google's strict guidelines for rich results like FAQs, Products, Reviews, and Articles. Whether you need to implement a complex @graph structure for a corporate site or debug existing validation errors in Search Console, this skill provides the technical implementation patterns and best practices required to maximize your visibility in search results.

主要功能

01Identifies and fixes missing required properties and invalid data types

02Generates Google-compliant JSON-LD for Articles, Products, FAQs, and more

03Validates existing schema against schema.org and Google Rich Result standards

04Supports complex multi-entity nesting using the @graph format

05Provides implementation strategies for React, Next.js, and static HTML

060 GitHub stars

使用场景

01Adding FAQ schema to service pages to capture more SERP real estate

02Setting up Organization and Breadcrumb schema for better site-wide indexing

03Implementing Product and Review markup to boost e-commerce click-through rates

主要功能

01Identifies and fixes missing required properties and invalid data types

02Generates Google-compliant JSON-LD for Articles, Products, FAQs, and more

03Validates existing schema against schema.org and Google Rich Result standards

04Supports complex multi-entity nesting using the @graph format

05Provides implementation strategies for React, Next.js, and static HTML

060 GitHub stars

使用场景

01Adding FAQ schema to service pages to capture more SERP real estate

02Setting up Organization and Breadcrumb schema for better site-wide indexing

03Implementing Product and Review markup to boost e-commerce click-through rates