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30x seo schema

Skill norahe0304-art/30x-seo/skills/30x-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".From its SKILL.md

Install
npx -y skills add norahe0304-art/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.

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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