geo-schema

Validate and generate JSON-LD structured data against Schema.org standards.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/sadie100/claude-dotfiles --skill geo-schema-sadie100
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-schema
Source: https://github.com/sadie100/claude-dotfiles/tree/main/skills/geo-schema
Command: npx skills add https://github.com/sadie100/claude-dotfiles --skill geo-schema-sadie100

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires web-scraping, json-ld, schema.org, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps streamline the process of detecting, validating, and generating structured data for SEO and AI discoverability, ensuring your content is properly indexed by search engines and AI platforms.

Core Features & Use Cases

  • Structured Data Audit: Detects existing structured data (JSON-LD, Microdata, RDFa) on a webpage.
  • Validation: Validates detected schemas against Schema.org specifications.
  • Schema Generation: Generates ready-to-use JSON-LD code blocks for missing schemas.
  • Use Case: A content manager can use this Skill to ensure their website's structured data is optimized for SEO and AI, improving search engine rankings and discoverability.

Quick Start

Run the geo-schema skill with the 'fetch_page.py' script to analyze structured data on a target webpage.

Frequently Asked Questions about geo-schema

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

FAQPage Schema
How do I generate JSON-LD structured data for my web pages?

This Skill generates ready-to-use JSON-LD code blocks for missing schemas by parsing webpage HTML. It outputs structured data formatted against Schema.org specifications to ensure proper indexing by search engines and AI platforms.

Can I audit existing structured data on a webpage for SEO?

Yes, you can run an SEO structured data audit to detect existing JSON-LD, Microdata, and RDFa on a webpage. The Skill validates these detected schemas against Schema.org specifications to ensure they are correctly implemented for discoverability.

Do I need web scraping capabilities to validate Schema.org specifications?

Yes, web scraping capabilities are required to fetch and parse HTML content from target web pages. The Skill utilizes Python libraries and depends on web scraping to extract and validate structured data against Schema.org standards.

What is the best way to optimize structured data for AI discoverability?

The best way to optimize structured data for AI discoverability is to validate existing schemas and generate missing JSON-LD code. This Skill streamlines detecting, validating, and generating Schema.org compliant data to improve how AI platforms index your content.

Does this structured data generation tool work with Microdata and RDFa?

Yes, the structured data audit detects existing Microdata and RDFa alongside JSON-LD on your webpage. However, for generating new schemas, the tool outputs exclusively in JSON-LD format to align with modern SEO and AI discoverability standards.