Agent skill
schema-generator
Generate validated JSON-LD structured data markup for any page type
From ekatasingh1107/b2b-gtm-skills · 99 skills · 2 · pushed 2026-04-11
What it does when it runs
Generate validated JSON-LD structured data markup for any page type
Read from the skill and the 1 file bundled beside it. A skill’s own description is written to be selected by an agent, so it describes the job and not the dependencies.
- Keys and connectors you must supply
- None found.
- Hosts it reaches
- search.google.com
- Tool permissions it declares
- No
allowed-toolsin the frontmatter. It only issues instructions, so there is nothing to bound. - Actions present in the files
- None. Instructions only.
Install it
View source on GitHub ↗git clone --depth 1 --filter=blob:none --sparse https://github.com/ekatasingh1107/b2b-gtm-skills.git /tmp/b2b-gtm-skills git -C /tmp/b2b-gtm-skills sparse-checkout set "skills/capabilities/schema-generator" mkdir -p ~/.claude/skills/schema-generator cp -R "/tmp/b2b-gtm-skills/skills/capabilities/schema-generator/." ~/.claude/skills/schema-generator/
Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗
The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.
The skill
Source on GitHub ↗Reproduced in full from ekatasingh1107/b2b-gtm-skills/blob/eae8dd0bb98da1c8e84abd297066a87015dd860f/skills/capabilities/schema-generator/SKILL.md, which is licensed MIT (repository). 1,260 words, 24 headings.
Schema Generator
Generates ready-to-paste JSON-LD structured data markup for any page type. Supports Product, Article, FAQ, LocalBusiness, Organization, HowTo, Review, Service, BreadcrumbList, WebSite, Event, and more. Gathers required and recommended fields per schema type, generates valid JSON-LD, validates against schema.org specifications, and outputs script tags ready for insertion into page HTML.
Prerequisites
- Target page type or URL to generate schema for
- Content details (product info, FAQ pairs, business details, etc.)
- Optional:
agency.config.jsonfor organization defaults - Optional: browser automation tool for extracting content from a live URL
Phase 0: Read Config
- Read
agency.config.jsonfrom the project root (if available). - Extract
agency.name,agency.url,agency.logofor Organization schema defaults. - Extract
agency.social_profilesfor sameAs links. - Check
tools.browseravailability for live page content extraction. - Accept parameters:
page_type-- (required) one of:product,article,faq,local_business,organization,how_to,review,service,breadcrumb,website,event,person,recipe,video,course,job_posting,software_applicationurl-- (optional) live page URL to extract content from automaticallydata-- (optional) object with field values to populate the schemamultiple-- (optional) boolean, generate multiple schema types for the same page. Default: falseinclude_breadcrumb-- (optional) boolean, auto-add BreadcrumbList alongside primary schema. Default: true
Phase 1: Schema Type Resolution
Determine Required Schema Types
Based on page_type, identify the primary schema and any supplementary schemas:
| Page Type | Primary Schema | Supplementary Schemas |
|---|---|---|
| product | Product | BreadcrumbList, Review, Offer, AggregateRating |
| article | Article / BlogPosting / NewsArticle | BreadcrumbList, Organization (publisher) |
| faq | FAQPage | BreadcrumbList |
| local_business | LocalBusiness | BreadcrumbList, PostalAddress, GeoCoordinates |
| organization | Organization | WebSite, SearchAction |
| how_to | HowTo | BreadcrumbList |
| review | Review | BreadcrumbList, itemReviewed |
| service | Service | Organization (provider), BreadcrumbList, Offer |
| breadcrumb | BreadcrumbList | (standalone) |
| website | WebSite | Organization, SearchAction |
| event | Event | BreadcrumbList, Place, Offer |
| person | Person | (standalone) |
| video | VideoObject | BreadcrumbList |
| course | Course | BreadcrumbList, Organization (provider) |
| job_posting | JobPosting | Organization (hiringOrganization) |
| software_application | SoftwareApplication | BreadcrumbList, Review, Offer |
Phase 2: Field Gathering
If URL Provided
- Visit the page via browser automation
- Auto-extract relevant fields:
- Page title, description, headings
- Product details: name, price, currency, availability, images, SKU, brand
- Article details: headline, author, datePublished, dateModified, image
- FAQ: extract Q&A pairs from heading + paragraph patterns
- Business: name, address, phone, hours from footer/contact page
- Breadcrumb: derive from URL path structure
- Present extracted data for user confirmation before generating
If Data Object Provided
- Validate that all required fields for the schema type are present
- Prompt for any missing required fields
- Apply defaults from config where appropriate
Required vs Recommended Fields
For each schema type, clearly separate:
- Required fields: schema will fail validation without these
- Recommended fields: improve rich snippet eligibility
- Optional fields: enhance completeness but not required
Phase 3: Schema Generation
Product Schema
{
"@context": "https://schema.org",
"@type": "Product",
"name": "{{product_name}}",
"image": ["{{image_url_1}}", "{{image_url_2}}"],
"description": "{{description}}",
"sku": "{{sku}}",
"brand": {
"@type": "Brand",
"name": "{{brand_name}}"
},
"offers": {
"@type": "Offer",
"url": "{{page_url}}",
"priceCurrency": "{{currency}}",
"price": "{{price}}",
"availability": "https://schema.org/InStock",
"seller": {
"@type": "Organization",
"name": "{{seller_name}}"
}
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "{{rating}}",
"reviewCount": "{{review_count}}"
}
}
Article Schema
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "{{headline}}",
"image": ["{{image_url}}"],
"datePublished": "{{date_published}}",
"dateModified": "{{date_modified}}",
"author": {
"@type": "Person",
"name": "{{author_name}}",
"url": "{{author_url}}"
},
"publisher": {
"@type": "Organization",
"name": "{{publisher_name}}",
"logo": {
"@type": "ImageObject",
"url": "{{publisher_logo_url}}"
}
},
"description": "{{description}}",
"mainEntityOfPage": {
"@type": "WebPage",
"@id": "{{page_url}}"
}
}
FAQ Schema
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "{{question_1}}",
"acceptedAnswer": {
"@type": "Answer",
"text": "{{answer_1}}"
}
}
]
}
LocalBusiness Schema
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "{{business_name}}",
"image": "{{image_url}}",
"url": "{{website_url}}",
"telephone": "{{phone}}",
"address": {
"@type": "PostalAddress",
"streetAddress": "{{street}}",
"addressLocality": "{{city}}",
"addressRegion": "{{state}}",
"postalCode": "{{zip}}",
"addressCountry": "{{country}}"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": "{{lat}}",
"longitude": "{{lng}}"
},
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
"opens": "09:00",
"closes": "17:00"
}
]
}
Organization Schema
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "{{org_name}}",
"url": "{{org_url}}",
"logo": "{{logo_url}}",
"sameAs": [
"{{linkedin_url}}",
"{{twitter_url}}",
"{{facebook_url}}"
],
"contactPoint": {
"@type": "ContactPoint",
"telephone": "{{phone}}",
"contactType": "customer service"
}
}
HowTo Schema
{
"@context": "https://schema.org",
"@type": "HowTo",
"name": "{{title}}",
"description": "{{description}}",
"totalTime": "{{duration_iso8601}}",
"step": [
{
"@type": "HowToStep",
"name": "{{step_name}}",
"text": "{{step_text}}",
"image": "{{step_image_url}}"
}
]
}
BreadcrumbList Schema
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "{{base_url}}"
},
{
"@type": "ListItem",
"position": 2,
"name": "{{category_name}}",
"item": "{{category_url}}"
},
{
"@type": "ListItem",
"position": 3,
"name": "{{page_name}}",
"item": "{{page_url}}"
}
]
}
Service Schema
{
"@context": "https://schema.org",
"@type": "Service",
"name": "{{service_name}}",
"description": "{{description}}",
"provider": {
"@type": "Organization",
"name": "{{provider_name}}",
"url": "{{provider_url}}"
},
"serviceType": "{{service_type}}",
"areaServed": {
"@type": "Country",
"name": "{{country}}"
},
"offers": {
"@type": "Offer",
"price": "{{starting_price}}",
"priceCurrency": "{{currency}}"
}
}
Phase 4: Validation
Schema.org Compliance Check
- Verify all required properties are present for the schema type
- Verify data types match expectations (string, number, URL, date in ISO 8601)
- Verify URLs are absolute, not relative
- Verify image URLs are accessible
- Check for deprecated properties and suggest current alternatives
- Ensure
@contextishttps://schema.org(not http)
Common Error Prevention
- No trailing commas in JSON
- No single quotes (must be double quotes)
- Dates in ISO 8601 format:
YYYY-MM-DDTHH:MM:SSZ - Prices as strings with decimals:
"29.99"not29.99 - Availability values must be full schema.org URLs:
https://schema.org/InStock
Rich Results Eligibility
- Check which Google rich result types the schema qualifies for
- Flag any missing fields that would prevent rich result display
- Note: FAQ rich results, Product rich results, Review stars, Recipe cards, How-to steps
Phase 5: Output
Return structured JSON:
{
"page_url": "https://example.com/products/widget",
"generated_at": "2024-01-15T14:30:00Z",
"page_type": "product",
"schemas_generated": ["Product", "BreadcrumbList"],
"validation_status": "PASS",
"rich_result_eligible": ["Product snippet", "Review stars", "Price display"],
"script_tags": [
{
"schema_type": "Product",
"json_ld": "<script type=\"application/ld+json\">\n{\n \"@context\": \"https://schema.org\",\n \"@type\": \"Product\",\n ...\n}\n</script>"
},
{
"schema_type": "BreadcrumbList",
"json_ld": "<script type=\"application/ld+json\">\n{\n \"@context\": \"https://schema.org\",\n \"@type\": \"BreadcrumbList\",\n ...\n}\n</script>"
}
],
"validation_notes": [
"All required Product fields present",
"AggregateRating included -- eligible for review stars in SERPs",
"BreadcrumbList derived from URL path structure"
],
"missing_recommended_fields": [
{ "field": "gtin", "impact": "Adds product identification for Google Shopping" },
{ "field": "review", "impact": "Individual reviews strengthen review star display" }
],
"implementation_instructions": "Add both script tags to the <head> section of the page. Test with Google Rich Results Test: https://search.google.com/test/rich-results"
}
Example Usage
Trigger phrases:
- "Generate schema for [page type]"
- "Create JSON-LD for [url]"
- "Add structured data to [page type]"
- "Schema markup for my [product/article/FAQ]"
- "Generate FAQ schema for these questions"
User: Generate product schema for plasho.com/services/shopify-setup
Assistant: [visits page, extracts service details, generates Service + Organization + BreadcrumbList JSON-LD, validates, returns ready-to-paste script tags]
User: Create FAQ schema for these Q&As: "How long does setup take?" "2-3 weeks", "What's included?" "Full store setup with theme customization"
Assistant: [generates FAQPage JSON-LD with both Q&A pairs, validates, returns script tag]
User: What schema should I add to my homepage?
Assistant: [recommends Organization + WebSite + SearchAction, gathers details, generates all three, returns validated script tags]
Files bundled with it
These load only when the skill asks for them, so they cost nothing until it runs.
Other skills for the same job
Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.
- schema by coreyhaines31 · 46,928
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- schema-markup-generator by Varnan-Tech · 626
- schema-markup-generator by thatrebeccarae · 130
Need help setting it up?
This page tells you what schema-generator does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.
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