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seo-schemaSEO schema 搜索

Agent Skill

seo-schema 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,137

周安装

46

GitHub Stars

35,723

下载量

357
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:seo-schema(SEO schema 搜索)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/seo-schema
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill seo-schema
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill seo-schema

简介

seo-schema 用于处理 GitHub 仓库和代码协作信息,适合围绕仓库状态和代码变更进行整理。

  • 它适用于 SEO 相关的开发流程和协作事项管理,可协助跟踪 Issue 和 Pull Request。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体功能和使用方式。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 使用时不能将工具输出直接当作最终结论,尤其在涉及生产系统时应进行二次验证。

SKILL.md

Schema Markup Analysis & Generation

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

SchemaTypeStatusIssues
......✅/⚠️/❌...

Recommendations

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

Error Handling

ScenarioAction
URL unreachableReport connection error with status code. Suggest verifying URL and checking if the page requires authentication.
No schema markup foundReport that no JSON-LD, Microdata, or RDFa was detected. Recommend appropriate schema types based on page content analysis.
Invalid JSON-LD syntaxParse and report specific syntax errors (missing brackets, trailing commas, unquoted keys). Provide corrected JSON-LD output.
Deprecated schema type detectedFlag 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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.52%
按下载量换算134

Claude

30.14%
按下载量换算108

Cursor

17.82%
按下载量换算64

Gemini CLI

8.28%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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