Schema Markup

Handles Schema.org structured data implementation when you need rich snippets, enhanced search results, or AI search visibility. The skill walks you through JSON-LD markup for Article, Product, FAQ, Organization, and other types, with a useful reality check: Schema.org defines 800+ types but Google only supports a curated subset for rich results. It includes a comparison table showing what Google, Bing, and other engines actually support, maps schema types to SERP features (like how FAQPage powers People Also Ask boxes), and notes that HowTo schema was fully deprecated by Google in 2023. Covers both traditional SEO rich results and newer generative engine optimization where AI systems cite your content.

skills.sh installs: 1.4K
GitHub stars: 1.1K
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add kostja94/marketing-skills --skill schema-markup --agent claude-code

Installs into .claude/skills of the current project.

Files

SEO On-Page: Schema / Structured Data

Guides implementation of Schema.org structured data (JSON-LD) for rich snippets, enhanced search results, and Generative Engine Optimization (GEO).

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Scope (On-Page SEO)

Schema markup: Schema.org types for rich results, AI search visibility, and machine-readable content
Schema.org vs. search engines: Schema.org defines 800+ types; each search engine supports only a subset for rich results

Schema.org vs. Search Engine Support

Schema.org and Google Structured Data are not fully aligned. Schema.org is an open vocabulary (800+ types); Google, Bing, and other engines each support only a curated subset for rich results.

SKILL.md on GitHub