schema-markup

Generate validated JSON-LD structured data for Google rich results.

29|12|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/matteotitta/genesys-skills --skill schema-markup-matteotitta
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: schema-markup
Source: https://github.com/matteotitta/genesys-skills/tree/main/skills/primitives/seo-aeo/execution/schema-markup
Command: npx skills add https://github.com/matteotitta/genesys-skills --skill schema-markup-matteotitta

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the technical challenge of implementing accurate, Google-compliant structured data, preventing manual-action penalties and ensuring your content is eligible for rich results in search engines.

Core Features & Use Cases

  • Multi-Type Generation: Creates validated JSON-LD for diverse page types including Product, Article, FAQ, and Organization.
  • Graph Composition: Automatically wraps multiple schema types into a single, optimized @graph structure to reduce code bloat.
  • Validation Flow: Provides a rigorous checklist to ensure content-schema alignment and Rich Results Test compliance.

Quick Start

Use the schema-markup skill to generate the appropriate JSON-LD for the current page content.

Frequently Asked Questions about schema-markup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate JSON-LD structured data for different web page types?

You generate JSON-LD structured data by mapping page content to schema.org types like Product, Article, and Organization, creating validated code blocks that ensure rich result eligibility.

What is an optimized @graph structure for schema markup?

An optimized @graph structure for schema markup wraps multiple schema types into a single JSON-LD block, reducing code bloat while maintaining structured data validity for search engines.

How do I validate JSON-LD against Google's Rich Results Test?

To validate JSON-LD against Google's Rich Results Test, you apply a rigorous checklist ensuring content-schema alignment and compliance, preventing manual-action penalties during technical SEO workflows.

Can I use structured data generation for site audits and content publishing?

Yes, you can use structured data generation during site audits and content publishing to verify output against Google's Rich Results Test, ensuring your technical SEO campaigns remain compliant.

Why does my schema markup fail to achieve rich results eligibility?

Schema markup fails to achieve rich results eligibility when content and schema.org types are misaligned or lack validation against Google's Rich Results Test, risking manual-action penalties.