schema-markup

Detect, validate, and generate Schema.org JSON-LD markup for web pages.

2|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/multiplex-ai/muggle-ai-teams --skill schema-markup-multiplex-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: schema-markup
Source: https://github.com/multiplex-ai/muggle-ai-teams/tree/main/skills/schema-markup
Command: npx skills add https://github.com/multiplex-ai/muggle-ai-teams --skill schema-markup-multiplex-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Structured data is essential for SEO and AI-based discovery. This skill provides a guided approach to detect, validate, generate, and optimize schema.org markup so pages earn rich results and are more easily cited by AI platforms.

Core Features & Use Cases

  • Detect existing JSON-LD, Microdata, and RDFa, validate against schema.org specifications, and identify missing types based on business needs.
  • Generate ready-to-use JSON-LD snippets (Organization, WebSite with SearchAction, Product, SoftwareApplication, FAQPage, BreadcrumbList, etc.) and assemble them using @graph.
  • Output a comprehensive SCHEMA-REPORT.md with validation results, sameAs audits, and implementation notes for server-rendered JSON-LD placed in the head.

Quick Start

Install or integrate the skill into your workflow and run it on a target page to produce the JSON-LD markup and a validation report.

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 my web pages?

To generate JSON-LD structured data, this skill identifies required schema.org types for your pages and produces ready-to-implement JSON-LD blocks. It assembles snippets like Organization, Product, and FAQPage using an @graph composition for placement in the head.

What is the best way to validate schema markup against schema.org specifications?

The best way to validate schema markup is to detect existing JSON-LD, Microdata, and RDFa on your pages and check them against schema.org specifications. This skill outputs a comprehensive SCHEMA-REPORT.md with validation results and implementation notes.

How does schema markup improve AI discoverability and rich snippets?

Schema markup improves AI discoverability and rich snippets by providing structured data that search engines and AI platforms easily parse. Applying validated JSON-LD helps pages earn rich results and increases the likelihood of being cited by AI platforms.

Can I use this to find missing structured data types for my business needs?

Yes, you can use this to find missing structured data types for your business needs. The skill detects existing markup on homepages, product pages, and articles, then identifies missing types required to improve SEO and AI discovery.

Does the generated JSON-LD need to be server-rendered in the head?

Yes, the generated JSON-LD needs to be server-rendered in the head. The skill produces ready-to-implement JSON-LD blocks specifically designed for head placement, accompanied by implementation notes in the validation report.