Can I use this for complex pages with multiple schema types?

Yes, it supports combining multiple schema types on a single page using the @graph structure to ensure search engines understand the relationship between entities.

What schema formats does this skill support?

This skill primarily focuses on JSON-LD, which is the format recommended by Google for modern SEO and rich result eligibility.

Is it compatible with modern frameworks like Next.js?

Yes, it provides specific implementation strategies for dynamic environments, including component-based schema rendering and server-side serialization.

Does it help with Google Search Console errors?

Absolutely. The skill includes troubleshooting guides for missing required properties, invalid values, and mismatch errors found in Search Console.

Schema Markup & Structured Data

Name: Schema Markup & Structured Data
Author: lev-os

bylev-os

0•

Marketing Automation

Implements, optimizes, and validates schema.org structured data to enhance search engine visibility and enable rich results.

This skill empowers developers to implement technically sound JSON-LD schema markup that aligns with Google’s rich result requirements. It handles everything from initial content assessment and choosing the right schema types—such as Product, FAQ, or Organization—to generating valid code blocks and providing a testing checklist. Whether working on static sites, modern frameworks like Next.js, or CMS platforms, it ensures your content is machine-readable and optimized for maximum search engine performance.

Key Features

01Provides validation checklists and troubleshooting steps for common structured data errors

02Integrates with local marketing context to ensure data accuracy and business alignment

03Supports complex multi-type implementations using @graph syntax for cleaner code

04Generates Google-compliant JSON-LD markup for various content types including Product, FAQ, and Article

050 GitHub stars

06Offers framework-specific implementation guidance for React, Next.js, and static sites

Use Cases

01Fixing structured data errors and warnings reported in Google Search Console

02Adding FAQ and Review schema to product pages to increase click-through rates in search results

03Implementing sitewide breadcrumb and organization markup to improve site architecture visibility

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents schema-markup

For use in Claude.ai and ChatGPT

Download Skill