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Agent Skill · 研究检索

seo-schema-structured-data(SEO schema structured 数据)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

seo-schema-structured-data 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 53,999。

总安装 517周安装 22GitHub Stars 公开资料未说明下载 181核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-structured-data(SEO schema structured 数据)
来源仓库:https://github.com/autom8minds/seo-skills
仓库路径:skills/seo-schema-structured-data
安装命令:
npx skills add https://github.com/autom8minds/seo-skills --skill seo-schema-structured-data
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/autom8minds/seo-skills --skill seo-schema-structured-data

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助数据整理、表格处理与结构化数据生成。适合清洗字段、汇总指标或准备可视化素材。通过 npx 命令从 GitHub 仓库安装并使用。使用时需确认数据来源与字段含义,避免误判;涉及敏感数据时应先脱敏。seo-schema-structured-data 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/seo-schema-structured-data

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/autom8minds/seo-skills --skill seo-schema-stru…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

seo-schema-structured-data 怎么安装?

在终端执行 npx skills add https://github.com/autom8minds/seo-skills --skill seo-schema-structured-dat…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

seo-schema-structured-data 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

seo-schema-structured-data 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

seo-schema-structured-data 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

seo-schema-structured-data 用的人多吗?

公开数据是累计安装 517 次,近一周安装 22 次,下载 181 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

seo-schema-structured-data 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
seo-schema-structured-data

SEO schema structured 数据 · 本页

517—调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Schema.org Structured Data & JSON-LD


JSON-LD Fundamentals

JSON-LD (JavaScript Object Notation for Linked Data) is Google's recommended format for structured data. It is injected via a <script> tag in the <head> or <body> of an HTML page.

Basic Syntax

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How to Implement Structured Data",
  "author": {
    "@type": "Person",
    "name": "Jane Smith"
  }
}
</script>

Core Keywords

KeywordPurposeExample
@contextDeclares the vocabulary (always https://schema.org)"@context": "https://schema.org"
@typeSpecifies the entity type"@type": "Article"
@idUnique identifier for an entity (enables cross-referencing)"@id": "https://example.com/#organization"
@graphContains multiple entities in a single JSON-LD block"@graph": [{...}, {...}]

Nesting Entities

Entities can be nested directly or referenced by @id:

{
  "@context": "https://schema.org",
  "@type": "Article",
  "author": {
    "@type": "Person",
    "name": "Jane Smith",
    "@id": "https://example.com/#jane"
  },
  "publisher": {
    "@id": "https://example.com/#organization"
  }
}

Arrays

Use arrays when a property has multiple values:

{
  "@type": "Article",
  "author": [
    { "@type": "Person", "name": "Jane Smith" },
    { "@type": "Person", "name": "John Doe" }
  ]
}

The @graph Pattern (Multi-Entity Pages)

Use @graph to describe multiple entities on a single page (e.g., Organization + WebPage + BreadcrumbList):

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://example.com/#organization",
      "name": "Example Corp",
      "url": "https://example.com"
    },
    {
      "@type": "WebPage",
      "@id": "https://example.com/about/#webpage",
      "url": "https://example.com/about/",
      "name": "About Us",
      "isPartOf": { "@id": "https://example.com/#website" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com/" },
        { "@type": "ListItem", "position": 2, "name": "About" }
      ]
    }
  ]
}

Google-Supported Schema Types

The following types are recognized by Google and can trigger rich results. Each section lists required (R) and recommended (Rec) properties.


Article (NewsArticle, BlogPosting)

Triggers: article rich result with headline, image, date in search.

PropertyStatusNotes
headlineRMax 110 characters
imageRAt least 696px wide; multiple images recommended
datePublishedRISO 8601 format
dateModifiedRecISO 8601 format
authorRPerson or Organization with name and url
publisherRecOrganization with name and logo
descriptionRecShort summary of the article
mainEntityOfPageRecURL of the page

MCP Tool: Use extract_schema on any article URL to see its current structured data, then generate_schema with type Article to produce compliant markup.


Product (with Offer, AggregateRating)

Triggers: product rich result with price, availability, rating stars.

PropertyStatusNotes
nameRProduct name
imageRAt least one image
descriptionRecProduct description
skuRecStock-keeping unit
brandRecBrand name
offersROffer or AggregateOffer
offers.priceRNumeric price
offers.priceCurrencyRISO 4217 currency code
offers.availabilityRItemAvailability enum (e.g., https://schema.org/InStock)
offers.urlRecURL to buy
aggregateRatingRecAggregateRating with ratingValue and reviewCount
reviewRecIndividual Review objects

Nesting pattern: AggregateRating and Offer nest inside Product:

{
  "@type": "Product",
  "name": "Widget",
  "offers": {
    "@type": "Offer",
    "price": "29.99",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.5",
    "reviewCount": "120"
  }
}

FAQPage (with Question / Answer)

Triggers: expandable FAQ accordion in search results.

PropertyStatusNotes
mainEntityRArray of Question objects
Question.nameRThe question text
Question.acceptedAnswerRAnswer object
Answer.textRThe answer text (HTML allowed)

Rules:

  • Only use FAQPage for pages where the primary content is a list of questions and answers.
  • Each question and answer must be visible on the page.
  • Do not use for forums or single-question pages (use QAPage instead).

HowTo (with HowToStep)

Triggers: step-by-step rich result or carousel.

PropertyStatusNotes
nameRTitle of the how-to
stepRArray of HowToStep objects
step.nameRStep title
step.textRStep instructions
step.imageRecImage for each step
step.urlRecURL anchor to step on page
totalTimeRecISO 8601 duration (e.g., PT30M)
estimatedCostRecMonetaryAmount object
supplyRecHowToSupply items needed
toolRecHowToTool items needed

LocalBusiness (and Subtypes)

Triggers: local knowledge panel, map pack eligibility data.

Subtypes: Restaurant, Dentist, LegalService, RealEstateAgent, MedicalBusiness, etc.

PropertyStatusNotes
nameRBusiness name
addressRPostalAddress object
telephoneRecPhone number
openingHoursSpecificationRecArray of hours
geoRecGeoCoordinates (lat/long)
urlRecWebsite URL
imageRecBusiness photo
priceRangeRece.g., $$ or $10-50
servesCuisineRecFor Restaurant subtype
aggregateRatingRecAggregateRating
reviewRecReview objects

Organization

Triggers: knowledge panel data, logo in search results.

PropertyStatusNotes
nameROrganization name
urlRWebsite URL
logoRImageObject or URL (min 112x112px, square preferred)
sameAsRecArray of social profile URLs
contactPointRecContactPoint object
addressRecPostalAddress
descriptionRecShort description
foundingDateRecISO 8601 date

BreadcrumbList

Triggers: breadcrumb trail in search results replacing the URL.

PropertyStatusNotes
itemListElementRArray of ListItem objects
ListItem.positionRInteger (1-indexed)
ListItem.nameRBreadcrumb label
ListItem.itemR*URL (*omit on last item)

WebSite (with SearchAction for Sitelinks Search Box)

Triggers: sitelinks search box on branded queries.

PropertyStatusNotes
urlRHomepage URL
nameRecSite name
potentialActionRSearchAction object
SearchAction.targetRURL template with {search_term_string}
SearchAction.query-inputR"required name=search_term_string"
{
  "@type": "WebSite",
  "url": "https://example.com/",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://example.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}

Event

Triggers: event rich result with date, location, ticket info.

PropertyStatusNotes
nameREvent name
startDateRISO 8601 datetime
locationRPlace or VirtualLocation
location.nameRVenue name
location.addressRPostalAddress
endDateRecISO 8601 datetime
descriptionRecEvent description
imageRecEvent image
offersRecOffer with price/url/availability
performerRecPerson or Organization
organizerRecPerson or Organization
eventStatusRecEventScheduled, EventCancelled, EventPostponed, etc.
eventAttendanceModeRecOfflineEventAttendanceMode, OnlineEventAttendanceMode, MixedEventAttendanceMode

Recipe

Triggers: recipe rich result with image, rating, cook time.

PropertyStatusNotes
nameRRecipe name
imageRMultiple images at different aspect ratios
authorRPerson or Organization
datePublishedRecISO 8601
descriptionRecShort description
prepTimeRecISO 8601 duration
cookTimeRecISO 8601 duration
totalTimeRecISO 8601 duration
recipeYieldRece.g., "4 servings"
recipeIngredientRecArray of strings
recipeInstructionsRArray of HowToStep objects
nutritionRecNutritionInformation (calories)
aggregateRatingRecAggregateRating
videoRecVideoObject

VideoObject

Triggers: video rich result with thumbnail, duration, upload date.

PropertyStatusNotes
nameRVideo title
descriptionRVideo description
thumbnailUrlRThumbnail image URL
uploadDateRISO 8601 date
contentUrlRecDirect URL to video file
embedUrlRecEmbed URL
durationRecISO 8601 duration
interactionStatisticRecView count

Course

Triggers: course rich result in search and Google for Education.

PropertyStatusNotes
nameRCourse title
descriptionRCourse description
providerROrganization offering the course
offersRecOffer with price
courseCodeRecIdentifier
hasCourseInstanceRecCourseInstance with schedule

SoftwareApplication

Triggers: software rich result with rating, price, OS.

PropertyStatusNotes
nameRApp name
operatingSystemRece.g., "Windows 10", "Android"
applicationCategoryRece.g., "GameApplication", "BusinessApplication"
offersROffer with price (use "0" for free)
aggregateRatingRecAggregateRating
reviewRecReview objects

Review

Triggers: review snippet with star rating.

PropertyStatusNotes
itemReviewedRThe entity being reviewed (Product, LocalBusiness, etc.)
authorRPerson who wrote the review
reviewRatingRRating object with ratingValue
reviewRating.bestRatingRecMaximum rating value
reviewRating.worstRatingRecMinimum rating value
datePublishedRecISO 8601 date
reviewBodyRecFull text of the review

Dynamic Schema Generation Patterns

When building pages programmatically, generate schema from your data models:

Server-Side Rendering (Next.js example)

export default function ProductPage({ product }) {
  const schema = {
    "@context": "https://schema.org",
    "@type": "Product",
    "name": product.title,
    "image": product.images,
    "description": product.description,
    "sku": product.sku,
    "brand": { "@type": "Brand", "name": product.brand },
    "offers": {
      "@type": "Offer",
      "price": product.price,
      "priceCurrency": "USD",
      "availability": product.inStock
        ? "https://schema.org/InStock"
        : "https://schema.org/OutOfStock"
    }
  };

  return (
    <>
      <script
        type="application/ld+json"
        dangerouslySetInnerHTML={{ __html: JSON.stringify(schema) }}
      />
      {/* Page content */}
    </>
  );
}

CMS Integration Pattern

For WordPress, Shopify, or headless CMS:

  1. Map CMS fields to schema properties in a template or plugin.
  2. Ensure price, availability, and rating data are pulled from the live data source.
  3. Use conditional logic to only output properties that have values.

Validation Approach

Step 1: Rich Results Test (Google)

Step 2: Schema Markup Validator (Schema.org)

Step 3: Google Search Console

  • Check Enhancements section for structured data reports.
  • Monitor errors, warnings, and valid item counts.
  • Review indexing of pages with structured data.

MCP Tool: Use extract_schema on any URL to pull all JSON-LD, Microdata, and RDFa. Use generate_schema with a target type to produce valid markup from page content.


Common Pitfalls

PitfallProblemFix
Invisible contentSchema describes content not visible to usersEnsure every structured data property matches visible page content
Missing required fieldsGoogle ignores incomplete markupAlways include all required properties per type
Wrong @typeUsing a type Google does not support for rich resultsUse only Google-documented types
Fake reviewsSchema includes fabricated ratings or reviewsOnly mark up genuine, real user reviews
Outdated pricesProduct schema shows old priceDynamically generate schema from live data
Multiple conflicting typesTwo Product schemas on one page with different dataUse one canonical schema per entity
Self-referencing issues@id references that point nowhereEnsure every @id reference has a matching definition
Incorrect date formatUsing MM/DD/YYYY instead of ISO 8601Always use YYYY-MM-DD or YYYY-MM-DDTHH:MM:SS+00:00
HTTP image URLsImages referenced over HTTP not HTTPSUse HTTPS URLs for all images
Spam policy violationsMarking up content solely for SEO manipulationFollow Google's structured data spam policies

Related Skills

  • seo-on-page-optimization -- for content and meta tag optimization
  • seo-technical-audit -- for crawlability and indexing issues
  • seo-mcp-tools-expert -- for detailed MCP tool usage

Key MCP Tools for Structured Data

ToolUse For
extract_schemaExtract existing structured data from any URL
generate_schemaGenerate valid JSON-LD markup for a given page and type

See SCHEMA_TEMPLATES.md for ready-to-use JSON-LD templates. See VALIDATION_RULES.md for Google's validation requirements. See RICH_RESULTS_GUIDE.md for which types trigger which rich results.

平台分布

Codex

37.38%
按下载量换算68

Claude

29.81%
按下载量换算54

Cursor

17.36%
按下载量换算31

Gemini CLI

9.17%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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