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seo-schema

该 Skill 面向网站结构化数据与搜索展现设计:扫描页面的 JSON-LD、Microdata、RDFa,校验必填属性与常见错误,标注受限或已废弃的类型,并按页面类型生成 JSON-LD 模板与校验报告。正文引用的类型清单与模板文件未包含在文件列表中,联网抓取方式也未声明。

asale-ai
热度 8.60
最近更新 2026-08-13 14:39:40
分类:营销依赖:联网浏览搜索 / 读写文件应用场景:模板 / 报告撰写 / 市场分析

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add seo-schema
Metadata
name
seo-schema
slug
seo-schema
version
1.0.0
displayName
网站结构化数据与搜索展现设计|简诗 AI
summary
Detect, validate, and generate Schema.org structured data. JSON-LD format 当用户需要处理相关业务场景时使用。
description
Detect, validate, and generate Schema.org structured data. JSON-LD format 当用户需要处理相关业务场景时使用。
tags
["市场营销","增长运营"]

Schema Markup Analysis & Generation

使用范围与安全规则

本 Skill 只用于“网站结构化数据与搜索展现设计”场景,围绕用户当前提供或明确授权处理的材料完成任务。功能目标:Detect, validate, and generate Schema.org structured data. JSON-LD format 当用户需要处理相关业务场景时使用。

  • 默认先在回复中交付分析、方案、草稿、代码建议或检查清单,不主动读取任务范围外的文件、账号和数据。
  • 信息不足时先标记缺口并向用户确认,不用猜测内容填补事实、数字、姓名、结论或权限。
  • 需要联网检索或调用接口时,先说明访问目标、拟发送的数据和用途并取得用户明确同意;只访问用户指定或公开合法来源,不绕过登录、付费墙、验证码、访问控制或平台限制。
  • 营销与增长输出只做合规方案、内容草稿和测试建议,不承诺流量、排名、成交或收益;不刷量、不群发骚扰、不伪造背书,不设计规避平台规则的做法。
  • 交付前复核事实依据、隐私、版权、平台规则和可执行边界;发现高风险或越权请求时停止相关动作,并给出合规替代方案。

When to Use

  • Use when detecting, validating, or generating Schema.org structured data.
  • Use when the user asks about JSON-LD, rich results, or markup opportunities.
  • Use when schema validation is the main task, rather than a broader SEO audit.

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

Schema Type Status Issues
... ... ✅/⚠️/❌ ...

Recommendations

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

Error Handling

Scenario Action
URL unreachable Report connection error with status code. Suggest verifying URL and checking if the page requires authentication.
No schema markup found Report that no JSON-LD, Microdata, or RDFa was detected. Recommend appropriate schema types based on page content analysis.
Invalid JSON-LD syntax Parse and report specific syntax errors (missing brackets, trailing commas, unquoted keys). Provide corrected JSON-LD output.
Deprecated schema type detected Flag the deprecated type with its retirement date. Recommend the current replacement type or advise removal if no replacement exists.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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