seo-schema

Generate and validate Schema.org JSON-LD structured data for SEO audits.

Updated May 10, 2026
One-click install
npx skills add https://github.com/itdevwork-git/claude-seo --skill seo-schema-itdevwork-git
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-schema
Source: https://github.com/itdevwork-git/claude-seo/tree/main/skills/seo-schema
Command: npx skills add https://github.com/itdevwork-git/claude-seo --skill seo-schema-itdevwork-git

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It removes guesswork and common markup errors when implementing Schema.org structured data, helping pages qualify for rich results with correct, verifiable fields.

Core Features & Use Cases

  • Schema detection: Finds JSON-LD, Microdata, and RDFa, and prioritizes JSON-LD for compatibility.
  • Validation and QA: Checks required properties by schema type, validates rich-result support, and flags issues like missing @context, invalid @type, wrong data types, placeholder values, and non-absolute URLs.
  • Guided generation: Selects schema types from page intent, generates valid JSON-LD templates, and ensures only truthful, user-verifiable data is included.
  • Type lifecycle awareness: Surfaces restricted and deprecated types (including rich-result retirement notices) and guides toward current best-practice types.

Quick Start

Use seo-schema to analyze a page URL and produce detection plus validation results and ready-to-implement JSON-LD.

Frequently Asked Questions about seo-schema

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

FAQPage Schema
How do I validate Schema.org JSON-LD for rich result eligibility?

Generate JSON-LD structured data by selecting schema types from page intent and producing valid templates. This guided generation ensures only truthful, user-verifiable data is included, prioritizing JSON-LD output for maximum rich-result compatibility.

How do I detect existing structured data during an SEO audit?

JSON-LD is prioritized over Microdata and RDFa because it ensures correct formatting and maximum rich-result compatibility. Validating structured data requires enforcing absolute URLs, checking supported rich-result types, and detecting deprecated schema types.

What causes structured data errors like invalid @type or placeholder values?

Restricted and deprecated schema types should be flagged during validation to avoid rich-result retirement notices. Type lifecycle awareness guides you toward current best-practice types, ensuring your structured data remains valid and supported over time.

How do I generate valid JSON-LD templates for specific page types?

Generate valid JSON-LD templates by selecting appropriate schema types based on page intent. This guided process ensures only truthful, user-verifiable data is included, with correct formatting and absolute URLs for supported rich results.