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30x seo schema

Skill norahe0304-art/30x-seo-cn/skills/30x-seo-schema

检测、验证和生成 Schema.org 结构化数据。首选 JSON-LD 格式。 当用户说"schema"、"结构化数据"、"富媒体结果"、"JSON-LD" 或"标记"时使用。From its SKILL.md

Install
npx -y skills add norahe0304-art/30x-seo-cn --skill 30x-seo-schema

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

One thing to look at

  • 1 stars1 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.

SKILL.md

4.5 KB, ~1.4k tokens by cl100k_base, as published. Nobody here has run it

Schema 结构化数据分析与生成

检测

  1. 扫描页面源码中的 JSON-LD <script type="application/ld+json">
  2. 检查 Microdata(itemscope、itemprop)
  3. 检查 RDFa(typeof、property)
  4. 始终推荐 JSON-LD 作为主要格式(Google 明确表示的偏好)

验证

  • 检查每种 schema 类型的必需属性
  • 对照 Google 支持的富媒体结果类型验证
  • 测试常见错误:
    • 缺少 @context
    • 无效的 @type
    • 错误的数据类型
    • 占位符文本
    • 相对 URL(应该是绝对 URL)
    • 无效的日期格式
  • 标记已弃用的类型(见下文)

Schema 类型状态(截至 2026 年 2 月)

阅读 references/schema-types.md 获取完整列表。关键规则:

活跃 — 放心推荐:

Organization、LocalBusiness、SoftwareApplication、WebApplication、Product(含 2025年4月的认证标记)、ProductGroup、Offer、Service、Article、BlogPosting、NewsArticle、Review、AggregateRating、BreadcrumbList、WebSite、WebPage、Person、ProfilePage、ContactPage、VideoObject、ImageObject、Event、JobPosting、Course、DiscussionForumPosting

视频和专业类型 — 放心推荐:

BroadcastEvent、Clip、SeekToAction、SoftwareSourceCode

查看 schema/templates.json 获取这些类型的即用型 JSON-LD 模板。

JSON-LD 和 JavaScript 渲染: 根据 Google 2025年12月的 JS SEO 指南,通过 JavaScript 注入的结构化数据可能面临延迟处理。对于时间敏感的标记(特别是 Product、Offer),请在初始服务器渲染的 HTML 中包含 JSON-LD。

受限 — 仅限特定网站:

  • FAQ:仅限政府和医疗权威网站(2023年8月限制)

已弃用 — 永远不要推荐:

  • HowTo:2023年9月移除富媒体结果
  • SpecialAnnouncement:2025年7月31日弃用
  • CourseInfo、EstimatedSalary、LearningVideo:2025年6月退役
  • ClaimReview:2025年6月从富媒体结果退役
  • VehicleListing:2025年6月从富媒体结果退役
  • Practice Problem:2025年底从富媒体结果退役
  • Dataset:2025年底从富媒体结果退役
  • Book Actions:弃用后恢复 — 截至2026年2月仍可用(历史说明)

生成

为页面生成 schema 时:

  1. 从内容分析识别页面类型
  2. 选择适当的 schema 类型
  3. 生成包含所有必需和推荐属性的有效 JSON-LD
  4. 仅包含真实、可验证的数据 — 明确标记需要用户填写的占位符
  5. 在展示前验证输出

常用 Schema 模板

Organization(组织)

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "[公司名称]",
  "url": "[网站URL]",
  "logo": "[Logo URL]",
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "[电话]",
    "contactType": "customer service"
  },
  "sameAs": [
    "[Facebook URL]",
    "[LinkedIn URL]",
    "[Twitter URL]"
  ]
}

LocalBusiness(本地商家)

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "[商家名称]",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "[街道地址]",
    "addressLocality": "[城市]",
    "addressRegion": "[省/州]",
    "postalCode": "[邮编]",
    "addressCountry": "CN"
  },
  "telephone": "[电话]",
  "openingHours": "Mo-Fr 09:00-17:00",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": "[纬度]",
    "longitude": "[经度]"
  }
}

Article/BlogPosting(文章/博客文章)

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "[标题]",
  "author": {
    "@type": "Person",
    "name": "[作者姓名]"
  },
  "datePublished": "[YYYY-MM-DD]",
  "dateModified": "[YYYY-MM-DD]",
  "image": "[图片URL]",
  "publisher": {
    "@type": "Organization",
    "name": "[发布者]",
    "logo": {
      "@type": "ImageObject",
      "url": "[Logo URL]"
    }
  }
}

输出

  • SCHEMA-REPORT.md — 检测和验证结果
  • generated-schema.json — 即用型 JSON-LD 代码片段

验证结果

Schema类型状态问题
......✅/⚠️/❌...

建议

  • 缺失的 schema 机会
  • 需要修复的验证问题
  • 用于实现的生成代码

[PROTOCOL]: 变更时更新此头部,然后检查 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 ~1.4k 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

Said here and by no other author read

  • check html for microdata and rdfa
  • test structured data against google rich results
  • include structured data in initial server html

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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