SEO 与 GEO · schema-markup

网页结构化数据 Skill

把普通网页内容转换成机器可读的结构化数据标记,用于适配搜索引擎和 AI 的引用规则。

为产品页或文章按需生成对应的 JSON-LD 代码。它根据 Google 官方支持清单匹配 Article、Product 或 Event 等代码类型,剔除已被取消的 HowTo 格式。产出的代码贴入网站即可提升在搜索结果中的展示面积和被 AI 引用的准确度。

WHAT IT SOLVES

把普通网页内容转换成机器可读的结构化数据标记,用于适配搜索引擎和 AI 的引用规则

把普通网页内容转换成机器可读的结构化数据标记,用于适配搜索引擎和 AI 的引用规则。跑完你拿到的是包含具体字段和实体内容的 JSON-LD 代码段,可直接嵌入网页 head 标签内,中间一共 7 步。

最适合的真实场景

  • 01

    海外电商运营团队在产品页面上添加包含价格和库存状态的 Product 标记

  • 02

    SEO 经理为帮助中心文章配置 FAQPage 标记以触发搜索结果的常见问题展示卡

  • 03

    B2B 营销团队为博客文章添加 Article 标记以提高 Perplexity 和 ChatGPT 的引用准确率

  • 04

    HR 团队修改招聘页面代码以包含职位和薪资字段满足 Google Jobs 录入标准

  • 05

    前端开发在根布局文件中放置 Organization 和 WebSite 标记建立全站实体图谱

你要先准备的资料

  • 目标页面 URL 以及包含 HTML 标签的前端源码结构
  • 页面实际包含的文本内容,例如文章正文、产品标价或作者署名
  • 期望在搜索结果中达成的展示样式,例如星标评级或常见问题下拉菜单
  • 当前网站部署的组织机构与作者实体信息,包含官方名称和社交媒体主页链接
  • 若部署多语言页面,需提供对应的区域代码和语言标签对照数据

跑完你会拿到什么

  • 包含具体字段和实体内容的 JSON-LD 代码段,可直接嵌入网页 head 标签内
  • 网页类型与 Schema 模型的对照表,写明页面对应的具体实体类别
  • 排除不适用类型的实际原因说明,写明因接口停用而不采纳的特定标记
  • Google 富媒体结果测试工具的验证链接与需要人工检查的错误项清单
  • 面包板导航对照说明,记录前端可见导航路径与代码内链接的对应关系

METHOD

提取页面实体信息 → 匹配网页类型 → 筛选适用实体类别 等 7 个环节

一共 7 步。其中 7 项能力决定了换个 AI 会不会更麻烦。

  1. 提取页面实体信息读取输入的 URL 和前端代码结构,识别页面实际包含的文本内容,提取出名称、价格、作者、日期等实体字段备用
  2. 匹配网页类型对照页面内容与期望搜索样式,在文章、产品、常见问题、招聘等类型中,选出最具体且符合页面主体内容的类别
  3. 筛选适用实体类别在 Schema.org 词库中查出对应的实体类别,核实该类别是否在 Google 官方的富媒体搜索结果支持列表内
  4. 排除不支持的类型过滤掉 HowTo 等已被 Google 彻底停用的标记类型,在实际原因说明中写清因接口停用而排除的具体条款
  5. 编写 JSON-LD 代码把提取出的实体字段填入选定的实体类别中,生成包含具体字段、绝对链接地址和 ISO 8601 格式日期的 JSON-LD 代码
  6. 串联全站实体图谱在代码中添加 @id 字段,把组织机构、作者信息和当前页面通过链接关联起来,供 AI 系统抓取时理清从属关系
  7. 输出验证测试建议生成对照表与代码后,附带 Google 官方富媒体结果测试工具的直达链接,指明需要人工复核的警告项

这个 Skill 用到的能力: 读本地资料运行脚本页面预览联网检索MCP 与连接器打开网页取正文操作前确认 。不同 AI 对这些能力的支持程度不一样,所以同一个 Skill 换个 AI,有几步做法会变。

WORKED EXAMPLE

SaaS 工具产品页适配 AI 引用与富文本展示

SaaS 工具产品页适配 AI 引用与富文本展示

一个面向海外市场的 AI 写作工具团队希望他们的产品页面被 ChatGPT 正确引用,同时在 Google 搜索结果中显示星级评分和价格。团队提供了产品页 URL 和前端代码。他们需要一套不破坏现有页面排版的 JSON-LD 代码,并确认这些标记能通过 Google 的测试工具。

  1. 读取产品页 URL 和前端代码结构,提取工具名称、月度标价和用户评分
  2. 对照期望展示样式,将页面匹配为 SoftwareApplication 类别
  3. 生成包含具体价格字段和聚合评分数据的 JSON-LD 代码
  4. 添加 Organization 实体代码,把工具开发者与官方社交主页链接关联
  5. 输出 Google 富媒体结果测试工具的链接,指明价格字段需人工确认

预期结果:团队拿到了一段包含工具名称、价格和评分数据的 JSON-LD 代码,以及一份网页类型与实体类别对照表。代码排除了已被停用的 HowTo 类型,附带了一份使用 Google 富媒体结果测试工具进行验证的检查清单。其中价格货币单位的显示规则需要人工对照当地的支付设置进行最终确认。

PITFALLS · VERIFICATION

在页面添加了 Google 已经彻底停用的 HowTo 标记

最常踩的坑

  • 在页面添加了 Google 已经彻底停用的 HowTo 标记,搜索结果不显示
  • 把全公司级别的 Organization 标记限制在关于我们页面内,导致全站实体不连贯
  • 前端页面可见日期与代码内日期不一致,Google 提取错误日期导致点击率下降
  • 在产品页面强行添加招聘专用的 JobPosting 标记,触发搜索引擎垃圾内容惩罚
  • 面包板导航代码里的文字与页面实际显示的路径不一致,未能通过富媒体测试

怎么确认这次跑对了

  • 已经形成可检查的包含具体字段和实体内容的 JSON-LD 代码段,可直接嵌入网页 head 标签内,关键判断能回到输入资料或过程证据。
  • 已经形成可检查的网页类型与 Schema 模型的对照表,写明页面对应的具体实体类别,关键判断能回到输入资料或过程证据。
  • 已经形成可检查的排除不适用类型的实际原因说明,写明因接口停用而不采纳的特定标记,关键判断能回到输入资料或过程证据。
  • 已逐项检查「在页面添加了 Google 已经彻底停用的 HowTo 标记,搜索结果不显示」等高频问题,并记录需要人工确认的下一步。
网页结构化数据 Skill适合哪些岗位使用?

海外营销团队、SEO 经理、前端开发、内容运营。典型场景包括海外电商运营团队在产品页面上添加包含价格和库存状态的 Product 标记;SEO 经理为帮助中心文章配置 FAQPage 标记以触发搜索结果的常见问题展示卡;B2B 营销团队为博客文章添加 Article 标记以提高 Perplexity 和 ChatGPT 的引用准确率。

开始前需要准备什么资料?

至少需要目标页面 URL 以及包含 HTML 标签的前端源码结构、页面实际包含的文本内容,例如文章正文、产品标价或作者署名、期望在搜索结果中达成的展示样式,例如星标评级或常见问题下拉菜单。资料越具体,结果越能直接用于决策。

最后能得到什么可检查的结果?

包含具体字段和实体内容的 JSON-LD 代码段,可直接嵌入网页 head 标签内、网页类型与 Schema 模型的对照表,写明页面对应的具体实体类别、排除不适用类型的实际原因说明,写明因接口停用而不采纳的特定标记。每项都可以逐条核对来源和数字。

哪些情况下结果会不可靠?

在页面添加了 Google 已经彻底停用的 HowTo 标记,搜索结果不显示;把全公司级别的 Organization 标记限制在关于我们页面内,导致全站实体不连贯。出现这些情况时需要人工复核。

支持哪些 AI Agent?

已适配 WorkBuddy、OpenClaw、Hermes Agent、Codex、Claude Code、TRAE、ZCode 共 7 种,每种都有独立的安装说明和能力对照。

ORIGINAL SOURCE

2 个原始文件,26 个文档章节,固定在 70987bad

上游原文完整保留在加搜服务器上,可逐节查看,也可以直接下载。 当前镜像共 2 个文件、20.6 KB。

原始 Skill 文档 上游原文完整保留,中文概述已转换为营销任务、输入资料和交付结果。

SEO On-Page: Schema / Structured Data

Guides implementation of Schema.org structured data (JSON-LD) for rich snippets, enhanced search results, and Generative Engine Optimization (GEO).

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Scope (On-Page SEO)

  • Schema markup: Schema.org types for rich results, AI search visibility, and machine-readable content
  • Schema.org vs. search engines: Schema.org defines 800+ types; each search engine supports only a subset for rich results

Schema.org vs. Search Engine Support

Schema.org and Google Structured Data are not fully aligned. Schema.org is an open vocabulary (800+ types); Google, Bing, and other engines each support only a curated subset for rich results.

Engine Support Notes
Google Subset only Only types in Google's search gallery generate rich results. Valid Schema.org markup not in Google's list won't produce enhanced snippets—even if technically correct.
Bing Subset; different Supports JSON-LD, Microdata, RDFa, Open Graph. Some types (e.g., Product, Offer) have format-specific support. Check Bing Webmaster docs.
Other engines Varies Yandex, DuckDuckGo, AI search tools (Perplexity, etc.) may use Schema.org for understanding even when they don't display rich results.

Practical implication: Implement Schema.org markup for your content type. If Google doesn't show rich results for that type, Bing or AI systems may still use it. Always verify against Google's developer docs for Google-specific rich result eligibility.

Rich Results: Google Support (2026)

High-impact types: Product, Review snippets, Article/News, Video, Recipe, LocalBusiness, Event, Breadcrumb, Sitelinks searchbox, JobPosting.

Limited or context-dependent: FAQ (government/health sites for many queries), Education Q&A, Course, SoftwareApplication, Speakable (news), DiscussionForumPosting.

Deprecated: HowTo (fully removed for all devices as of Sep 2023), COVID data panels, some AMP-only formats, data-vocabulary.org.

Implementation: JSON-LD preferred; include @context, @type, stable @id; ISO 8601 dates; match structured data to visible content. Validate with Rich Results Test. Rich results can increase CTR up to ~35% and improve AI citation.

Schema ↔ SERP Features ↔ Rich Results (Strongly Related)

Schema, SERP features, and rich results are strongly related. Schema is the necessary condition for most rich results. When targeting a SERP feature, implement the corresponding schema type. See serp-features for the full SERP feature list and optimization.

Rich Results vs Featured Snippets
  • Rich results: Schema-powered enhancements to standard listings (stars, breadcrumbs, FAQ dropdowns, product info). Appear within organic positions; do not require top-10 rank.
  • Featured snippets: Google-extracted answer boxes at position zero. No schema required; content structure matters. Schema (FAQPage, HowTo, Article) can support extraction.
Schema Type SERP Feature / Rich Result Notes
FAQPage PAA, Featured Snippet FAQ dropdown; Q&A-style snippet. Eligibility restricted for many sites (e.g. government/health)
BreadcrumbList Breadcrumbs Path display in result
AggregateRating, Review Reviews / Stars Star ratings
HowTo Formerly rich results (deprecated Sep 2023) No longer generates Google rich results; Bing/AI may still use
Article In-Depth Articles, Snippet Article rich result
VideoObject Video Video thumbnail; see video-optimization
Product, Offer Shopping, Product Product/shopping results
Recipe Recipe Recipe rich result
JobPosting Google Jobs Job listings
Event Event Event rich result
WebSite + SearchAction Sitelinks searchbox Site links for brand queries
Organization, Person Knowledge Panel Entity info; see entity-seo

Workflow: 1) Use serp-features to identify target SERP feature; 2) Look up schema type in this table; 3) Implement and validate with Rich Results Test.

Generative Engine Optimization (GEO)

GEO = optimizing content so AI systems (Google AI Overviews, Perplexity, ChatGPT, Gemini) choose, cite, and quote your content in generated answers. Structured data makes content machine-readable; AI engines extract and cite more accurately. Key schema types for GEO: Organization, Person/Author, WebSite, WebPage, FAQPage, HowTo, Article, Product, AggregateRating. See generative-engine-optimization for full GEO strategy.

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for product type and content.

Identify:

  1. Page type: Article, Product, FAQ, Organization, JobPosting, Event, etc.
  2. Content: What entities to describe
  3. Goal: Rich snippets, AI Overview visibility, Knowledge Panel

Schema Type Classification

Core Types (General Use)
Type Use case
Organization Site-wide; company info, logo, sameAs; see placement below
WebSite Site-wide; search action, site name; pair with Organization on homepage
Article Blog posts, news, tool intros
BreadcrumbList Breadcrumb navigation
FAQPage FAQ sections; triggers PAA-style results
Person Author info; pairs with Article
ImageObject Image metadata for rich results
HowTo Tutorials, step-by-step guides. Note: Google fully deprecated HowTo rich results for all devices (Sep 2023); Bing/AI may still consume HowTo schema
Exclusive Types (Specific Scenarios)
Type Use case
JobPosting Recruitment sites, AI Job Matching
Product E-commerce product pages
Event Event pages, ticketing (not general blogs)
SoftwareApplication App pages, tool pages
LocalBusiness Local business pages
Dataset Data platforms, datasets
DiscussionForumPosting Forums, community posts
Quiz Education, flashcards
MathSolver Math tools
CaseStudy Case study pages
Recipe Recipes, meal plans, cooking instructions

Rule: Use core types for most sites. Use exclusive types only when page content matches (e.g., don't use Event on a blog; don't use JobPosting on a product page).

Organization & WebSite Schema Placement
Where Organization WebSite Notes
Homepage Minimum Minimum Add both Organization and WebSite to homepage at least. Organization describes the entity that owns the site; WebSite enables sitelinks searchbox and site identity.
Root layout / global Optimal Optimal Place in site-wide layout (e.g. layout.tsx, _document, global header/footer) so schema appears on every page. Google uses the first instance found; one instance per site is sufficient.
About page No No About page uses AboutPage schema (page-specific: headline, description, author, about). Organization is entity-level, not page-level—do not confine it to About. See about-page-generator.

Implementation: JSON-LD in <head>; use @id (e.g. https://example.com/#organization) to link Organization ↔ WebSite ↔ WebPage for entity graph. See entity-seo for @id and Knowledge Panel.

Action: Website/Product Type → Schema Mapping

Use this table to recommend which exclusive schema types fit a site. Match the site's content and product type to the most relevant schema. When in doubt, start with core types (Organization, WebSite, Article); add exclusive types only when content clearly matches.

Website / Product type Recommended exclusive schema Why
AI meal planner, recipe site, food blog, cooking app Recipe Ingredients, instructions, cook time, servings—highly relevant for food/meal content. Google supports Recipe rich results.
Job board, recruitment site, careers page JobPosting Title, company, location, salary, employment type. Required for Google Jobs.
Event platform, ticketing, webinar, conference Event Date, location, price. Use only on actual event pages.
SaaS, app, Chrome extension, tool, software product page SoftwareApplication App name, category, rating, price, OS. Fits product/feature pages.
E-commerce product page Product Price, availability, brand, reviews. Use with Offer, AggregateRating.
Forum, community, Reddit-style, Q&A DiscussionForumPosting Post content, author, comments. For user-generated discussion.
Data platform, dataset repository, Scale AI / Surge AI Dataset Dataset name, creator, license, distribution format. For data catalog pages.
Education site, flashcards, Quizlet-style Quiz Question-answer pairs. For educational Q&A content.
Math solver, calculator, equation tool MathSolver Math problem input, solution output. For math tools.
Restaurant, local service, store locator LocalBusiness Address, hours, NAP. For local SEO.
Case study, customer story page CaseStudy Client, outcome, methodology. For B2B case studies.
FAQ page, product FAQ, support FAQ FAQPage Question + acceptedAnswer pairs. Triggers PAA-style results.
Tutorial, how-to guide, step-by-step HowTo Steps, tools, time. Note: Google fully deprecated HowTo rich results (Sep 2023); Bing/AI may still consume the schema. Consider FAQPage as alternative
News article, press release NewsArticle Use instead of Article for news.
Video page, podcast episode VideoObject / PodcastEpisode For video/audio content. See video-optimization for VideoObject, thumbnail, key moments.

Examples:

  • AI meal planner (e.g., generates weekly meal plans with recipes) → Add Recipe schema to each recipe/meal page; Article or WebPage for landing pages
  • AI writing toolSoftwareApplication on product page; Article on blog
  • Recruitment SaaSJobPosting on job listing pages; SoftwareApplication on product page
  • Recipe blogRecipe on each recipe post; Article for non-recipe posts

Output: When recommending schema, state: (1) which exclusive types fit the site/product, (2) which page types get which schema, (3) core types to add site-wide (Organization, WebSite, BreadcrumbList).

Article / BlogPosting / NewsArticle: Type Selection & Implementation

Choose the most specific type that matches content:

Type Use case
BlogPosting Informal blog posts; individual authors; regularly updated
Article Formal, evergreen content; tool intros; encyclopedic
NewsArticle Time-sensitive news; recognized publishers

Required properties: headline (max 110 chars), image (min 1200px wide; absolute URL), datePublished (ISO 8601), author (Person or Organization), publisher (Organization with logo).

Recommended: dateModified, description, mainEntityOfPage (canonical URL).

Date display for CTR: Google recommends showing only one date on the page. If both datePublished and dateModified are visible, Google may pick the wrong date for SERP display—Search Engine Land saw ~22% CTR drop. Best practice: show dateModified if it exists, otherwise datePublished. Keep both in JSON-LD; the rule applies to visible date only.

JSON-LD example (BlogPosting):

{
  "@context": "https://schema.org",
  "@type": "BlogPosting",
  "headline": "The Ultimate SEO Checklist for 2025",
  "description": "A complete guide to optimizing blog posts for search and AI.",
  "image": "https://example.com/image.jpg",
  "datePublished": "2025-01-15T09:00:00Z",
  "dateModified": "2025-02-01T14:30:00Z",
  "author": { "@type": "Person", "name": "Jane Doe", "url": "https://example.com/author/jane" },
  "publisher": { "@type": "Organization", "name": "Example", "logo": { "@type": "ImageObject", "url": "https://example.com/logo.png" } }
}

Place in <head> via <script type="application/ld+json">. For article pages, use og:type: article with og:article:published_time, og:article:modified_time, og:article:author. See article-page-generator, open-graph.

BreadcrumbList

For breadcrumb navigation. Schema must match visible breadcrumbs exactly. See breadcrumb-generator for UI, placement, and semantic HTML.

Requirement Guideline
Format JSON-LD in <script type="application/ld+json">
URLs Absolute URLs with https:// for each item
Position Sequential integers starting from 1
Match Schema must match visible breadcrumbs exactly

JSON-LD example:

{
  "@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", "item": "https://example.com/category/current-page/" }
  ]
}

Multiple paths: Google supports multiple BreadcrumbList objects on the same page when a page is reachable via multiple paths (e.g., product in multiple categories). Use an array of BreadcrumbList objects.

Best Practices

Principle Guideline
Accuracy Data must match visible page content; never add invisible or misleading data
Completeness Include all required properties per type
Most specific type Use NewsArticle over Article when applicable
JSON-LD Preferred format; place in <script type="application/ld+json">
@id for entities Use @id for Organization, Person to enable entity linking; see entity-seo
Phased implementation Add required properties first; then optional for optimization
Validation Test with Rich Results Test and Schema Markup Validator
inLanguage (multilingual) Add "inLanguage": "en-US" (IETF BCP 47) to match hreflang; localize names, descriptions, FAQs for rich snippets per locale
Multilingual Schema (inLanguage)

For multilingual sites, add inLanguage to JSON-LD to reinforce language targeting. Align with hreflang values (e.g. "inLanguage": "zh-CN" with hreflang="zh-CN").

Localize schema data: Translate structured data fields (name, description, FAQ acceptedAnswer, etc.) for each locale to improve rich snippet CTR in that language.

Types that support inLanguage: Article, BlogPosting, WebApplication, FAQPage, HowTo, Product, Organization.

Implementation Workflow

  1. Analyze page type and content; choose matching Schema type
  2. Select format — JSON-LD recommended (Google, Bing, AI tools support it)
  3. Write structured data; start with required properties
  4. Validate with Rich Results Test, Schema Markup Validator
  5. Deploy and monitor via Search Console enhanced reports

Common Errors and Fixes

Error Fix
Data doesn't match visible content Schema must describe only what users see
Missing required properties Check Google/Schema.org docs for each type
Wrong type for page Don't use Event on non-event pages; don't use JobPosting on product pages
Format/syntax errors Validate JSON-LD; check quotes, brackets, commas
Over-markup Mark only relevant content; avoid stuffing unrelated types

Implementation

Next.js (metadata)
export const metadata = {
  other: {
    'script:ld+json': JSON.stringify({
      "@context": "https://schema.org",
      "@type": "Article",
      "headline": "...",
      "description": "...",
      "inLanguage": "en-US",
      "image": "https://example.com/image.jpg",
      "datePublished": "2024-01-01T00:00:00Z",
      "dateModified": "2024-01-15T00:00:00Z",
      "author": { "@type": "Person", "name": "..." },
      "publisher": { "@type": "Organization", "name": "...", "logo": { "@type": "ImageObject", "url": "..." } }
    }),
  },
};
HTML (generic)
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "...",
  "description": "...",
  "inLanguage": "en-US",
  "author": { "@type": "Person", "name": "..." },
  "publisher": { "@type": "Organization", "name": "...", "logo": { "@type": "ImageObject", "url": "..." } }
}
</script>

Validation Tools

Tool Purpose
Google Rich Results Test Check if Google can generate rich results
Schema Markup Validator Validate against Schema.org spec
Search Console Enhanced reports; monitor validity over time

Output Format

  • Action first: Use the Website/Product Type → Schema Mapping table to recommend which exclusive schema fits the site (e.g., AI meal planner → Recipe; SaaS tool → SoftwareApplication)
  • Schema type recommendation (core vs. exclusive)
  • Page-level mapping: Which pages get which schema
  • JSON-LD structure with required properties
  • Validation steps
  • References: Schema.org, Google Structured Data, Bing Markup

Related Skills

  • article-page-generator: Article structure; Article/BlogPosting/NewsArticle schema; date display
  • serp-features: Strongly related—schema maps to SERP features; see mapping table above
  • faq-page-generator: FAQPage schema; FAQ content structure
  • howto-section-generator: HowTo section component (steps, JSON-LD); HowTo vs FAQPage
  • breadcrumb-generator: BreadcrumbList schema implementation
  • featured-snippet: FAQPage, HowTo for snippets
  • video-optimization: VideoObject, video sitemap, thumbnail, key moments
  • entity-seo: Organization, Person for entity recognition; @id; Knowledge Panel
  • homepage-generator: Organization + WebSite schema on homepage or root layout
  • indexing: Google Indexing API for JobPosting, BroadcastEvent

来源与版本声明

本页面由加搜科技整理业务说明并托管安装文件。原始 Skill 来源渠道:GitHub; 原始项目名称:schema-markup; 固定版本:70987bad4ebe; 许可证:MIT。技能包内保留完整出处和许可证说明。

各 Agent 能力说明参考对应官方文档。页面不提供外部跳转。

INSTALL

网页结构化数据 Skill v1.0.0,ZIP 带 SHA256 校验

默认做法是把提示词复制给 AI Agent,让它自己下载并安装。提示词里已经写清要用完整 ZIP、装完报告目录、并先跑一个小任务验证。

METHOD 01 · 交给 AI 自己装

复制提示词

适合大多数情况。Agent 会下载 ZIP、解压、放到正确目录,并在缺少权限时告诉你需要手工做哪一步。

请帮我把「网页结构化数据 Skill」安装到我正在使用的 AI Agent。
1. 下载完整 Skill ZIP:https://www.vibemarketing.work/packages/skill-schema/1.0.0/skill-schema.zip
   注意:网页 HTML 不能当作 Skill 文件安装,必须使用 ZIP 里的完整文件。
2. 解压后保留 SKILL.md 及全部配套文件,按你所用 Agent 的 Skill 目录规则安装。
3. 安装完成后告诉我实际安装目录。
4. 用一个只读小任务验证 Skill 已被识别。
5. 如果你没有联网、下载或写目录权限,请直接告诉我哪几步需要我手工完成。
参考:原始 SKILL.md https://www.vibemarketing.work/raw/skill-schema/SKILL.md;安装指南 https://www.vibemarketing.work/agent-install/skill-schema.md

FURTHER READING

网页结构化数据 Skill 相关的实操文章

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这份参考把 Feishu Doc Writer 放进微信公众号生产流程,覆盖输入准备、提示词结构、结果验收和二次修改。适合代理商项目组快速试跑,也会提醒“标签过多导致召回失真”这一类高频问题。

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以上文章正在编辑中,上线后可直接点击阅读。即将上线,敬请期待。

按这个 Skill 的产出能不能直接被下一个 Skill 用上来推荐,不是固定名单。多数情况下按顺序跑完一组,比单独用一个效果更好。

SEO 与 GEO#01

搜索结果页特性优化 Skill

把目标关键词的 Google 搜索结果页拆解为具体特性,输出各项特性的获取要求与结构化数据对照表。

来源项目热度 同步中

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