schema-markup

Generate standards-compliant JSON-LD schema markup for web pages.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/eniosales08-AI/paraguay-shopping-search --skill schema-markup-eniosales08-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: schema-markup
Source: https://github.com/eniosales08-AI/paraguay-shopping-search/tree/main/.cursor/skills/schema-markup
Command: npx skills add https://github.com/eniosales08-AI/paraguay-shopping-search --skill schema-markup-eniosales08-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Schema markup helps search engines understand page content and enables rich results; many sites struggle to implement accurate, maintainable JSON-LD across pages.

Core Features & Use Cases

  • Generate standards-compliant JSON-LD for common schema types (Organization, WebSite, Article, Product, FAQPage, HowTo, BreadcrumbList, LocalBusiness, Event).
  • Validate markup against schema.org definitions and Google guidelines, reducing errors and improving eligible rich results.
  • Provide a scalable approach for content teams to add structured data with minimal manual intervention.

Quick Start

Use the tool to generate JSON-LD for the current page content by specifying the page type and key metadata.

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 schema markup for a web page?

Generate standards-compliant JSON-LD schema markup by analyzing page content and specifying the page type. This approach creates structured data for common schema types like Article, Product, and FAQPage while following Google guidelines.

What schema types are supported for rich snippets?

Supported schema types for rich snippets include Organization, WebSite, Article, Product, FAQPage, HowTo, BreadcrumbList, LocalBusiness, and Event. Generating JSON-LD for these types helps search engines understand content and display rich results.

How do I validate structured data against Google guidelines?

Validate structured data against schema.org definitions and Google guidelines to reduce errors and improve eligible rich results. This ensures your JSON-LD markup remains correct, maintainable, and accurately synced with your page content.

Can content teams add structured data without manual coding?

Content teams can add structured data with minimal manual intervention using a scalable generation approach. Specifying the page type and key metadata allows marketing and content teams to maintain JSON-LD markup efficiently across pages.

Why does schema markup need to stay in sync with page content?

Schema markup must stay in sync with page content to ensure search engines accurately understand your page and maintain eligibility for rich results. Validating JSON-LD against schema.org definitions prevents structured data mismatch errors.