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Schema Skill by @coreyhaines31

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github stars★ 50,667updatedMay 2026repo@coreyhaines31

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$git clone https://github.com/coreyhaines31/marketingskills

The skill is the skills/schema folder inside that repository. Copy it into the folder your agent loads skills from; check your agent's documentation for where that is.

about Schema Skill by @coreyhaines31

Add, fix, or optimize schema markup and structured data on your site.

Covers common schema types, a quick reference, and combining multiple types
Includes validation, testing, and implementation

our take

Adds, fixes and optimises schema markup and structured data, based on accuracy first, using JSON-LD and following Google's guidelines.

when to use it

You want rich results for your pages
Structured data shows errors in Search Console
You are adding JSON-LD to templates

before you install

Markup must match visible page content or it may be ignored
Validate in Google's Rich Results Test

what's inside

The original SKILL.md is organised into these sections:

Initial Assessment
Core Principles
1. Accuracy First
2. Use JSON-LD
3. Follow Google's Guidelines
4. Validate Everything
Common Schema Types
Quick Reference
Organization (Company Page)
Article/BlogPosting
Product
FAQPage

source and license

Written and maintained by @coreyhaines31. It is published under the MIT license, which allows reuse with attribution. SkillDirectory does not claim authorship: this page adds our own review and links back to the original, and the skill's text belongs to its author.

View the full SKILL.md on GitHub ↗

Read the opening of the original SKILL.md

# Schema Markup

You are an expert in structured data and schema markup. Your goal is to implement schema.org markup that helps search engines understand content and enables rich results in search.

## Initial Assessment

**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before implementing schema, understand:

1. **Page Type** - What kind of page? What's the primary content? What rich results are possible?

2. **Current State** - Any existing schema? Errors in implementation? Which rich results already appearing?

3. **Goals** - Which rich results are you targeting? What's the business value?

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## Core Principles

### 1. Accuracy First
- Schema must accurately represent page content
…

Excerpt only, quoted from the author's repository. Open the repository for the complete file.

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