Schema Markup Analysis & Generation

Name: Schema Markup Analysis & Generation
Availability: InStock
Author: AgriciDaniel

Free Verified 152 lines By AgriciDaniel ★ 1,654 on GitHub SEO

Description

Detect, validate, and generate Schema.org structured data. JSON-LD format preferred.

How It Works

Click to enlarge

What Claude Learns

→ Detection
→ Validation
→ Schema Type Status (as of Feb 2026)
→ Generation
→ Common Schema Templates

Installation

1. Visit the GitHub repository: https://github.com/AgriciDaniel/claude-seo
2. Copy the SKILL.md file contents
3. Save to ~/.claude/commands/skill-name.md
4. Restart Claude Code to load the new skill

Use Cases

Validation

Schema Type Status (as of Feb 2026)

Generation

Common Schema Templates

Related Skills

Frequently Asked Questions

How detailed is the Schema Markup Analysis & Generation skill?

Schema Markup Analysis & Generation contains 152 lines of structured instructions covering 5 key areas. It provides detailed guidance including specific implementation patterns, not just surface-level tips.

Is Schema Markup Analysis & Generation free to use?

Yes, Schema Markup Analysis & Generation is completely free. You can download the SKILL.md file or copy it to your clipboard directly from the skill page.

What will Claude Code learn from this skill?

Claude Code will gain expertise in: Detection; Validation; Schema Type Status (as of Feb 2026); and 2 more areas.

Download SKILL.md GitHub

---
name: seo-schema
description: >
  Detect, validate, and generate Schema.org structured data. JSON-LD format
  preferred. Use when user says "schema", "structured data", "rich results",
  "JSON-LD", or "markup".
---

# Schema Markup Analysis & Generation

## Detection

1. Scan page source for JSON-LD ``
2. Check for Microdata (`itemscope`, `itemprop`)
3. Check for RDFa (`typeof`, `property`)
4. Always recommend JSON-LD as primary format (Google's stated preference)

## Validation

- Check required properties per schema type
- Validate against Google's supported rich result types
- Test for common errors:
  - Missing @context
  - Invalid @type
  - Wrong data types
  - Placeholder text
  - Relative URLs (should be absolute)
  - Invalid date formats
- Flag deprecated types (see below)

## Schema Type Status (as of Feb 2026)

Read `references/schema-types.md` for the full list. Key rules:

### ACTIVE — recommend freely:
Organization, LocalBusiness, SoftwareApplication, WebApplication, Product (with Certification markup as of April 2025), ProductGroup, Offer, Service, Article, BlogPosting, NewsArticle, Review, AggregateRating, BreadcrumbList, WebSite, WebPage, Person, ProfilePage, ContactPage, VideoObject, ImageObject, Event, JobPosting, Course, DiscussionForumPosting

### VIDEO & SPECIALIZED — recommend freely:
BroadcastEvent, Clip, SeekToAction, SoftwareSourceCode

See `schema/templates.json` for ready-to-use JSON-LD templates for these types.

> **JSON-LD and JavaScript rendering:** Per Google's December 2025 JS SEO guidance, structured data injected via JavaScript may face delayed processing. For time-sensitive markup (especially Product, Offer), include JSON-LD in the initial server-rendered HTML.

### RESTRICTED — only for specific sites:
- **FAQ**: ONLY for government and healthcare authority sites (restricted Aug 2023)

### DEPRECATED — never recommend:
- **HowTo**: Rich results removed September 2023
- **SpecialAnnouncement**: Deprecated July 31, 2025
- **CourseInfo, EstimatedSalary, LearningVideo**: Retired June 2025
- **ClaimReview**: Retired from rich results June 2025
- **VehicleListing**: Retired from rich results June 2025
- **Practice Problem**: Retired from rich results late 2025
- **Dataset**: Retired from rich results late 2025
- **Book Actions**: Deprecated then reversed — still functional as of Feb 2026 (historical note)

## Generation

When generating schema for a page:
1. Identify page type from content analysis
2. Select appropriate schema type(s)
3. Generate valid JSON-LD with all required + recommended properties
4. Include only truthful, verifiable data — use placeholders clearly marked for user to fill
5. Validate output before presenting

## Common Schema Templates

### Organization
```json
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "[Company Name]",
  "url": "[Website URL]",
  "logo": "[Logo URL]",
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "[Phone]",
    "contactType": "customer service"
  },
  "sameAs": [
    "[Facebook URL]",
    "[LinkedIn URL]",
    "[Twitter URL]"
  ]
}
```

### LocalBusiness
```json
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "[Business Name]",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "[Street]",
    "addressLocality": "[City]",
    "addressRegion": "[State]",
    "postalCode": "[ZIP]",
    "addressCountry": "US"
  },
  "telephone": "[Phone]",
  "openingHours": "Mo-Fr 09:00-17:00",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": "[Lat]",
    "longitude": "[Long]"
  }
}
```

### Article/BlogPosting
```json
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "[Title]",
  "author": {
    "@type": "Person",
    "name": "[Author Name]"
  },
  "datePublished": "[YYYY-MM-DD]",
  "dateModified": "[YYYY-MM-DD]",
  "image": "[Image URL]",
  "publisher": {
    "@type": "Organization",
    "name": "[Publisher]",
    "logo": {
      "@type": "ImageObject",
      "url": "[Logo URL]"
    }
  }
}
```

## Output

- `SCHEMA-REPORT.md` — detection and validation results
- `generated-schema.json` — ready-to-use JSON-LD snippets

### Validation Results
| Schema | Type | Status | Issues |
|--------|------|--------|--------|
| ... | ... | ✅/⚠️/❌ | ... |

### Recommendations
- Missing schema opportunities
- Validation fixes needed
- Generated code for implementation

Description

How It Works

What Claude Learns

Installation

Use Cases

Validation

Schema Type Status (as of Feb 2026)

Generation

Common Schema Templates

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