Schema.org markup implementation patterns for rich results. Use when adding structured data to content for enhanced SERP appearances.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: schema-markup description: Schema.org markup implementation patterns for rich results. Use when adding structured data to content for enhanced SERP appearances.
Schema Markup
When to Use
- Adding structured data to content
- Implementing rich results
- Validating existing schema
- Planning schema strategy
Common Schema Types
Article/BlogPosting
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Article Title (max 110 chars)",
"image": ["https://example.com/image.jpg"],
"author": {
"@type": "Person",
"name": "Author Name"
},
"publisher": {
"@type": "Organization",
"name": "Publisher Name",
"logo": {
"@type": "ImageObject",
"url": "https://example.com/logo.jpg"
}
},
"datePublished": "2025-01-01",
"dateModified": "2025-01-15"
}
FAQPage
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "Question text?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Answer text."
}
}
]
}
HowTo
{
"@context": "https://schema.org",
"@type": "HowTo",
"name": "How to do something",
"step": [
{
"@type": "HowToStep",
"name": "Step 1 title",
"text": "Step 1 description"
},
{
"@type": "HowToStep",
"name": "Step 2 title",
"text": "Step 2 description"
}
]
}
Implementation Checklist
- Use JSON-LD format (preferred by Google)
- Place in
<head>or end of<body> - Include all required properties
- Validate with Google Rich Results Test
- Test with Schema.org validator
- Check Search Console for errors
Best Practices
- Be specific: Use most specific type (BlogPosting over Article)
- Be accurate: Only mark up visible content
- Be complete: Include all required properties
- Test thoroughly: Use validation tools
- Monitor: Check Search Console regularly
More by MadAppGang
View allChoose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok Code Fast) and proven consultation strategies based on real-world testing.
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
MANDATORY tracking protocol for multi-model validation. Creates structured tracking tables BEFORE launching models, tracks progress during execution, and ensures complete results presentation. Use when running 2+ external AI models in parallel. Trigger keywords - "multi-model", "parallel review", "external models", "consensus", "model tracking".
XML tag structure patterns for Claude Code agents and commands. Use when designing or implementing agents to ensure proper XML structure following Anthropic best practices.