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30x seo schema

Skill square-lupus579/30x-seo/skills/30x-seo-schema

Deliver comprehensive SEO automation with 24 AI-powered skills covering audits, technical SEO, content, links, local SEO, and keyword research.

Install
npx -y skills add square-lupus579/30x-seo --skill 30x-seo-schema

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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".

SKILL.md

4.5 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

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

{
  "@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

{
  "@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

{
  "@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

SchemaTypeStatusIssues
......✅/⚠️/❌...

Recommendations

  • Missing schema opportunities
  • Validation fixes needed
  • Generated code for implementation

[PROTOCOL]: Update this header on changes, then check CLAUDE.md

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most marketing audience skills give in ~1.1k tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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