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memstack-seo-schema-markup

Identify applicable schema types and generate valid JSON-LD blocks.

Updated Mar 13, 2026
Search Tags:#schema#google#seo#structured-data#markup#json-ld#rich-results
One-click install
npx skills add https://github.com/jtucker9/mystuff --skill memstack-seo-schema-markup-jtucker9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memstack-seo-schema-markup
Source: https://github.com/jtucker9/mystuff/tree/main/skills/seo-geo/schema-markup
Command: npx skills add https://github.com/jtucker9/mystuff --skill memstack-seo-schema-markup-jtucker9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web pages often lack correct, machine-readable metadata, preventing search engines from delivering rich results. This skill automates the identification of applicable schema types and the generation of valid JSON-LD blocks that conform to schema.org and Google guidelines.

Core Features & Use Cases

  • Identify applicable schema types for a page and generate valid JSON-LD blocks ready to paste into the HTML head.
  • Validate blocks against Google's Rich Results requirements to reduce markup errors and improve search appearance.
  • Use case: Add or fix structured data on product, article, FAQ, or event pages to enhance search results.

Quick Start

Paste the generated JSON-LD into the page head to enable rich results.

Frequently Asked Questions about memstack-seo-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 rich results?▼

Schema.org JSON-LD is a structured data format that helps search engines understand page content to deliver rich results. It encodes page metadata in machine-readable JSON blocks placed in the HTML head, conforming to schema.org vocabulary and Google's guidelines.

Does Google require schema.org structured data to match specific rich results guidelines?▼

Google requires schema.org structured data to match specific rich results guidelines to qualify for enhanced search appearances. Validating blocks against Google's technical requirements reduces markup errors and ensures your structured data supports rich results.

Can I use this approach to add structured data to product, article, FAQ, or event pages?▼

Yes, you can use this approach to add or fix structured data on product, article, FAQ, or event pages. The process identifies applicable schema types for each specific page type and generates valid JSON-LD blocks to enhance search results.

Why does my schema markup not produce rich results in Google search?▼

Schema markup fails to produce rich results when it lacks correct machine-readable metadata or contains validation errors against Google's requirements. Identifying applicable schema types and generating valid guideline-compliant JSON-LD blocks resolves these markup errors.

What's the best way to validate schema.org JSON-LD against Google's rich results requirements?▼

The best way to validate schema.org JSON-LD is to check generated blocks against Google's Rich Results requirements during generation. This ensures the structured data conforms to schema.org vocabulary and reduces markup errors before adding it to the HTML head.

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