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schema-markup

Implement JSON-LD schema markup for Google rich results.

Updated Mar 17, 2026
Search Tags:#seo#structured-data#json-ld#faq-schema#schema-markup#rich-results
One-click install
npx skills add https://github.com/TomWall1/WageCheck --skill schema-markup-tomwall1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: schema-markup
Source: https://github.com/TomWall1/WageCheck/tree/main/.agents/skills/schema-markup
Command: npx skills add https://github.com/TomWall1/WageCheck --skill schema-markup-tomwall1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides structured data expertise to ensure search engines understand pages and display enhanced results, eliminating guesswork about which schema types and properties are required.

Core Features & Use Cases

  • Context-aware assessment: Encourages checking existing schema, page intent, and product marketing context files before asking questions.
  • JSON-LD implementation guidance: Explains how to craft Organization, Product, FAQ, BreadcrumbList, Article, and Service schemas, including multi-type @graph scenarios.
  • Validation and testing: Directs users to Google Rich Results Test, Schema.org validator, and Search Console while stressing accuracy and guideline compliance.

Quick Start

Use the schema-markup skill to craft JSON-LD that matches your page’s content and targets the desired rich results before deployment.

Frequently Asked Questions about schema-markup

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

FAQPage Schema
How do I add JSON-LD schema markup to my web pages for Google rich results?▼

To add JSON-LD schema markup, you craft structured data scripts matching your page content and insert them into the HTML. This helps search engines recognize content types like products or FAQs to unlock rich results.

What types of structured data schemas can I generate for SEO?▼

You can generate structured data schemas for Organization, Product, FAQ, BreadcrumbList, Article, and Service content. It also supports multi-type structured data scenarios using an @graph structure for comprehensive SEO coverage.

How do I validate structured data before deploying schema markup?▼

You validate structured data by testing it with the Google Rich Results Test, the Schema.org validator, and Search Console. These tools check accuracy and guideline compliance before you deploy the schema markup.

Can I use multiple schema types on a single SaaS marketing page?▼

Yes, you can implement multi-type structured data on SaaS marketing pages by using a JSON-LD @graph. This allows search engines to recognize combined content types like Organization, Service, and FAQ on a single page.

Why do I need to check existing schema and page intent before adding structured data?▼

Checking existing schema and page intent ensures the new structured data accurately matches the content. Evaluating the product marketing context before implementation prevents conflicting markup and ensures search engines correctly understand the page.

Does FAQ schema markup require specific properties to display rich results?▼

FAQ schema markup requires specific JSON-LD properties to unlock rich results. Providing accurate question and answer properties ensures search engines can parse the content and display expanded FAQ entries directly in search listings.

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