schema-markup-generator 标准
Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features. Supports Article, FAQ, HowTo, Product, Review, LocalBusiness, Event, BreadcrumbList, Person, Organization, and more. Use when the user needs schema markup, structured data, rich snippets, JSON-LD, or wants to improve search appearance.
安装方式
cp -r skills/schema-markup-generator ~/.claude/skills/schema-markup-generator把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/
https://raw.githubusercontent.com/thatrebeccarae/claude-marketing/a8a63ec1341f05ec9c1e9cb52b4edeb14e3bdcba/skills/schema-markup-generator/SKILL.md下载后另存为 ~/.claude/skills/schema-markup-generator/SKILL.md。链接锁定采集时的 commit,内容与本站展示一致。
整仓一次性获取:git clone --depth 1 https://github.com/thatrebeccarae/claude-marketing.git
依赖与权限
- 无需 API Key
- 需要联网访问外部服务
- 依赖外部命令:
git - 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
SKILL.md 正文
Schema Markup Generator
Generate JSON-LD structured data for rich results, AI citations, and enhanced search visibility.
Install
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/schema-markup-generator ~/.claude/skills/
When to Use
- Adding structured data to new or existing pages
- Generating JSON-LD for specific schema types
- Auditing existing schema for errors or missing fields
- Improving AI search visibility (pairs with aeo-geo-optimizer)
- Enabling rich results (FAQ dropdowns, star ratings, how-to steps)
Workflow
Step 1: Identify Content Type
| Content | Primary Schema | Rich Result |
|---|---|---|
| Blog post | Article | Enhanced listing with author, date |
| FAQ section | FAQPage | Expandable Q&A in SERPs |
| Tutorial | HowTo | Step-by-step with images/time |
| Product page | Product | Price, availability, ratings |
| Review | Review + Rating | Star ratings in SERPs |
| Recipe | Recipe | Cooking time, ingredients, ratings |
| Event | Event | Date, location, ticket info |
| Local business | LocalBusiness | Maps, hours, contact |
| Person/author | Person | Knowledge panel |
| Breadcrumbs | BreadcrumbList | Breadcrumb trail in SERPs |
| Video | VideoObject | Video carousel, thumbnails |
| Software | SoftwareApplication | App info in SERPs |
| Course | Course | Course info in SERPs |
| Dataset | Dataset | Dataset search results |
Step 2: Generate JSON-LD
Generate a <script type="application/ld+json"> block with all required and recommended fields for the schema type. Always use JSON-LD format (not Microdata or RDFa).
Step 3: Validate
- Google Rich Results Test: https://search.google.com/test/rich-results
- Schema.org Validator: https://validator.schema.org/
- Check Google Search Console for structured data errors
Schema Templates
Article
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Article Title (max 110 chars)",
"description": "Brief description of the article",
"author": {
"@type": "Person",
"name": "Author Name",
"url": "https://example.com/author/name",
"jobTitle": "Author Title",
"sameAs": ["https://linkedin.com/in/author", "https://twitter.com/author"]
},
"publisher": {
"@type": "Organization",
"name": "Publisher Name",
"logo": {"@type": "ImageObject", "url": "https://example.com/logo.png"}
},
"datePublished": "2026-03-18T00:00:00Z",
"dateModified": "2026-03-18T00:00:00Z",
"image": "https://example.com/article-image.jpg",
"mainEntityOfPage": {"@type": "WebPage", "@id": "https://example.com/article-url"}
}
FAQPage
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is the question?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The complete answer text. Can include <a href=url>HTML links</a>."
}
}
]
}
HowTo
{
"@context": "https://schema.org",
"@type": "HowTo",
"name": "How to Do Something",
"description": "Brief description",
"totalTime": "PT30M",
"estimatedCost": {"@type": "MonetaryAmount", "currency": "USD", "value": "0"},
"step": [
{
"@type": "HowToStep",
"name": "Step 1 Title",
"text": "Detailed step instructions",
"image": "https://example.com/step1.jpg"
}
]
}
Product
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Product Name",
"description": "Product description",
"image": "https://example.com/product.jpg",
"brand": {"@type": "Brand", "name": "Brand Name"},
"sku": "SKU-12345",
"offers": {
"@type": "Offer",
"price": "29.99",
"priceCurrency": "USD",
"availability": "https://schema.org/InStock",
"url": "https://example.com/product"
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.5",
"reviewCount": "127"
}
}
BreadcrumbList
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{"@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com"},
{"@type": "ListItem", "position": 2, "name": "Category", "item": "https://example.com/category"},
{"@type": "ListItem", "position": 3, "name": "Current Page"}
]
}
Required vs Recommended Fields
| Schema Type | Required Fields | Recommended Fields |
|---|---|---|
| Article | headline, author, datePublished, image | dateModified, publisher, description |
| FAQPage | mainEntity (Question + Answer) | — |
| HowTo | name, step | totalTime, estimatedCost, image |
| Product | name, offers (price + currency + availability) | brand, sku, aggregateRating, image |
| LocalBusiness | name, address | phone, hours, geo, image, priceRange |
| Event | name, startDate, location | endDate, offers, image, performer |
| Person | name | jobTitle, url, sameAs, image |
Common Mistakes
- Missing required fields — always check per-type requirements
- Incorrect date format — use ISO 8601 (YYYY-MM-DDTHH:MM:SSZ)
- Markup does not match visible content — schema must reflect what users see
- Using Microdata instead of JSON-LD — Google recommends JSON-LD
- Nesting errors — validate JSON syntax before deploying
- Duplicate schema — one schema block per type per page
- Self-referencing Organization — publisher should be the organization, not the page
Integration with Other Skills
- aeo-geo-optimizer — Schema is a key AEO signal; implement types recommended by the AEO audit
- technical-seo-audit — Audit identifies missing/broken schema; this skill generates the fixes
- seo-content-writer — Content structure should align with schema structure
质量与来源
- 所属仓库
- thatrebeccarae/claude-marketing
- 仓库星标
- 163
- 最近更新
- 5 个月前
- 采集时间
- 今天
- commit
- a8a63ec1341f
- 内容指纹
- sha256:fda6e2b1058614a
- 文件路径
- skills/schema-markup-generator/SKILL.md