Detect and validate Schema.org structured data, then generate compliant JSON-LD recommendations.
npx skills add https://github.com/lugondev/claude-seo --skill seo-schema-lugondev
Please help me install this Agent Skill. Skill: seo-schema Source: https://github.com/lugondev/claude-seo/tree/main/skills/seo-schema Command: npx skills add https://github.com/lugondev/claude-seo --skill seo-schema-lugondev
It solves the problem of missing, incorrect, or poorly formatted Schema.org structured data that can prevent eligible rich results and limit search visibility.
Example use case: You have a service page that currently lacks valid structured data—this Skill helps you detect the gap, validate what’s wrong (or absent), and generate compliant JSON-LD for Service/LocalBusiness-related entities so search engines can interpret the page correctly.
Ask the Skill to audit a specific URL for schema markup and generate corrected JSON-LD recommendations for the appropriate schema types.
High-intent search queries and answers about installing and using this skill.
You audit structured data by scanning a web page to detect existing JSON-LD, Microdata, or RDFa markup. This process identifies missing or incorrect schema types and generates a validation report detailing required properties and syntax errors for rich result eligibility.
You generate valid JSON-LD for a service page by creating implementation-ready structured data for Service and LocalBusiness entities. The generated markup includes clear placeholders for required user input and enforces data type rules to ensure search engines correctly interpret the page.
Schema markup fails rich result eligibility checks due to missing required properties, incorrect data types, or common syntax and URL issues. A validation audit flags these specific errors, along with deprecated or restricted schema types, preventing search engines from generating rich results.
The best way to fix deprecated schema types is to validate the existing structured data against current Schema.org rules. This identifies deprecated or restricted types and outputs implementation-ready JSON-LD snippets to replace the invalid markup with compliant entities.
You can validate Microdata and RDFa markup in addition to JSON-LD. The auditing process scans all three structured data formats, detects what is present or missing, and generates compliant JSON-LD recommendations as the preferred output format for implementation.
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