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schema-markup

Audit and repair JSON-LD structured data for Google rich results.

Updated Apr 24, 2026
Search Tags:#structured data#json-ld#schema markup#rich results#faq schema#search console
One-click install
npx skills add https://github.com/Veloxia-agency/VELOXIA-WEB --skill schema-markup-veloxia-agency
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: schema-markup
Source: https://github.com/Veloxia-agency/VELOXIA-WEB/tree/main/.claude/skills/marketing-skill/skills/schema-markup
Command: npx skills add https://github.com/Veloxia-agency/VELOXIA-WEB --skill schema-markup-veloxia-agency

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps teams implement, audit, and repair structured data so website pages can qualify for rich results, avoid Search Console errors, and be easier for AI search systems to understand.

Core Features & Use Cases

  • Structured Data Audit: Review existing JSON-LD and identify missing, broken, or invalid schema fields.
  • Schema Implementation: Generate copy-paste-ready markup for common page types such as articles, FAQs, products, how-to guides, local businesses, and videos.
  • Validation and Fixing: Correct markup errors, align schema with visible page content, and improve eligibility for Google rich results and AI search citations.

Quick Start

Use the schema-markup skill to audit the page’s structured data and generate corrected JSON-LD for the target page type.

Frequently Asked Questions about schema-markup

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

FAQPage Schema
How do I fix structured data errors reported in Google Search Console?▼

Fix structured data errors in Search Console by auditing existing JSON-LD, identifying invalid schema fields, aligning markup with visible page content, and generating corrected, validator-ready code for Google rich results.

What is the best way to generate JSON-LD schema markup for a FAQ page?▼

Generate JSON-LD schema markup for FAQ pages by applying the correct required fields, using absolute URLs, and ensuring the structured data matches your visible page content to pass rich result validation.

How does schema markup improve visibility in AI search systems?▼

Schema markup improves AI search visibility by structuring page content into standardized JSON-LD formats, making it easier for AI crawlers to parse context and accurately cite articles, products, or local businesses.

Can I use the same structured data audit process for both products and how-to guides?▼

Yes, you can use the same structured data audit process for products, how-to guides, articles, and videos, as the audit identifies missing fields and repairs JSON-LD to meet specific schema type requirements.

Why does my schema markup fail the rich results validation test?▼

Schema markup fails the rich results validation test when required fields are missing, relative URLs are used instead of absolute URLs, or the JSON-LD content does not match the visible text on the page.

Do I need visible page content for valid local business schema markup?▼

Yes, valid local business schema markup requires matching visible page content, correct required fields, and absolute URLs to ensure the JSON-LD accurately reflects the page and qualifies for rich results.

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