Does it handle complex multi-entity pages?

Absolutely. It can generate consolidated @graph structures to represent multiple connected entities such as Organization, WebSite, and BreadcrumbList on a single page.

Which schema formats does this skill support?

This skill primarily focuses on JSON-LD, as it is the format officially recommended by Google, though it can also assist with troubleshooting microdata and RDFa.

Is it compatible with React or Next.js?

Yes, it provides implementation patterns for both static HTML templates and modern dynamic frameworks, including logic for server-side rendered JSON-LD.

Can it help fix Google Search Console errors?

Yes, the skill is designed to diagnose specific errors like 'missing field' or 'invalid object type' and provide the corrected code to resolve them.

Schema Markup & Structured Data

Name: Schema Markup & Structured Data
Author: fianchettogianni

byfianchettogianni

0•

Marketing Automation

Implements, audits, and optimizes schema.org structured data to enhance search engine visibility and enable rich results.

This skill equips Claude with specialized expertise in structured data implementation using the Google-recommended JSON-LD format. It helps developers and marketers identify the most impactful schema types for their content—including Products, FAQs, Articles, and Local Business data—while ensuring full compliance with search engine guidelines. By automating the generation of valid markup and diagnosing existing implementation errors, this skill streamlines the technical SEO workflow for static sites, dynamic frameworks like Next.js, and various CMS platforms.

Key Features

01Support for complex @graph nesting and multi-entity implementations

02Rich result eligibility auditing for FAQs, Products, and Reviews

030 GitHub stars

04Automated JSON-LD generation for all major schema.org types

05Validation and troubleshooting for Google Search Console errors

06Framework-specific implementation patterns for React, Next.js, and static HTML

Use Cases

01Fixing 'missing field' warnings and errors in Google Search Console

02Adding FAQ schema to service pages to capture more search engine real estate

03Implementing Product and AggregateRating schema to enable star ratings in search results

Key Features

01Support for complex @graph nesting and multi-entity implementations

02Rich result eligibility auditing for FAQs, Products, and Reviews

030 GitHub stars

04Automated JSON-LD generation for all major schema.org types

05Validation and troubleshooting for Google Search Console errors

06Framework-specific implementation patterns for React, Next.js, and static HTML

Use Cases

01Fixing 'missing field' warnings and errors in Google Search Console

02Adding FAQ schema to service pages to capture more search engine real estate

03Implementing Product and AggregateRating schema to enable star ratings in search results