seo-schema
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".
Best use case
seo-schema is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 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".
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".
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "seo-schema" skill to help with this workflow task. Context: 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".
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/seo-schema/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How seo-schema Compares
| Feature / Agent | seo-schema | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Schema Markup Analysis & Generation
## When to Use
- Use when detecting, validating, or generating Schema.org structured data.
- Use when the user asks about JSON-LD, rich results, or markup opportunities.
- Use when schema validation is the main task, rather than a broader SEO audit.
## 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. |
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.Related Skills
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