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Prompts SEO Schema Markup Analyzer Generator

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SEO Schema Markup Analyzer Generator

The prompt instructs the model to detect schema markup (JSON-LD, Microdata, RDFa) on web pages, validate it against Google's requirements and current schema status rules, and gener…

  • External action: medium

SKILL 2 files

SKILL.md
---
name: seo-schema
description: ")"
---
# Schema Markup Analysis & Generation

## Detection

1. Scan page source for JSON-LD `<script type="application/ld+json">`
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

## Error Handling

| Scenario | Action |
|----------|--------|
| URL unreachable | Report connection error with status code. Suggest verifying URL and checking if the page requires authentication. |
| No schema markup found | Report that no JSON-LD, Microdata, or RDFa was detected. Recommend appropriate schema types based on page content analysis. |
| Invalid JSON-LD syntax | Parse and report specific syntax errors (missing brackets, trailing commas, unquoted keys). Provide corrected JSON-LD output. |
| Deprecated schema type detected | Flag the deprecated type with its retirement date. Recommend the current replacement type or advise removal if no replacement exists. |

REQUIRED CONTEXT

  • page source or URL

OPTIONAL CONTEXT

  • references/schema-types.md
  • schema/templates.json

ROLES & RULES

  1. Scan page source for JSON-LD
  2. Check for Microdata
  3. Check for RDFa
  4. Always recommend JSON-LD as primary format
  5. Check required properties per schema type
  6. Validate against Google's supported rich result types
  7. Flag deprecated types
  8. Identify page type from content analysis
  9. Select appropriate schema type(s)
  10. Generate valid JSON-LD with all required + recommended properties
  11. Include only truthful, verifiable data
  12. Use placeholders clearly marked for user to fill
  13. Validate output before presenting

EXPECTED OUTPUT

Format
markdown
Schema
markdown_sections · SCHEMA-REPORT.md, generated-schema.json, Validation Results, Recommendations
Constraints
  • produce SCHEMA-REPORT.md with detection/validation results and table
  • produce generated-schema.json with ready-to-use JSON-LD
  • include recommendations and error handling notes

SUCCESS CRITERIA

  • Report detection and validation results
  • Provide ready-to-use JSON-LD snippets
  • List missing schema opportunities and validation fixes

EXAMPLES

Includes three ready-to-use JSON-LD templates for Organization, LocalBusiness, and Article/BlogPosting.

CAVEATS

Dependencies
  • references/schema-types.md
  • schema/templates.json
Missing context
  • Input format (URL, raw HTML, or page source)
  • How/where the external reference files should be loaded
Ambiguities
  • description field contains only ")" which is invalid or incomplete
  • references external files (`references/schema-types.md`, `schema/templates.json`) without providing their content

QUALITY

OVERALL
0.74
CLARITY
0.72
SPECIFICITY
0.82
REUSABILITY
0.78
COMPLETENESS
0.68

IMPROVEMENT SUGGESTIONS

  • Replace the broken description with a concise one-line summary of the prompt's purpose
  • Either embed the referenced schema lists/templates or remove the file references to make the prompt self-contained
  • Add an explicit 'Input' section describing the expected user input (e.g., URL or HTML snippet)

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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