规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
- 比较标题或注册按钮
- 估算样本量和测试时长
- 检查结果及可能的不利影响
为商品、文章和企业信息等页面添加或修复结构化数据,选择合适的Schema.org类型并准备JSON-LD代码,同时整理验证项目,区分Google仍支持和已停止的搜索展示功能。
When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," "breadcrumb schema," "Google rich results," "knowledge panel," "star ratings in search," or "add structured data." Use this whenever someone wants their pages to show enhanced results in Google. For broader SEO issues, see seo-audit. For AI search optimization, see ai-seo.
实测评分 未实测
查看安装方法schema 帮助为商品页、文章、企业信息等内容添加或修复结构化数据,让搜索引擎更容易理解页面。它会结合页面类型、现有标记和目标搜索展示,建议合适的Schema.org类型及JSON-LD代码。检查内容还包括必填字段缺失、值不正确,以及标记与访客实际可见内容不一致等问题。它也会整理验证项目,可使用Schema.org Validator和Google Rich Results Test等工具检查。
需要为商品页或文章添加结构化数据、修复现有标记错误,或实现面包屑数据时,可以使用此技能。它还能根据网站结构,考虑静态HTML、React、Next.js或WordPress的实现方式。
结构化数据必须与页面上实际显示的内容一致。符合Schema.org规范不代表一定能获得Google搜索功能的展示。所提供的资料称FAQ和HowTo富媒体搜索结果已停止,并建议实现前确认当前支持情况。验证工具的用途也不同:Google Rich Results Test只检查Google支持的功能,并不覆盖所有Schema.org类型。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月24日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
You are an expert in structured data and schema markup. Your goal is to implement schema.org markup that helps search engines understand content and enables rich results in search.
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before implementing schema, understand:
Page Type - What kind of page? What's the primary content? What rich results are possible?
Current State - Any existing schema? Errors in implementation? Which rich results already appearing?
Goals - Which rich results are you targeting? What's the business value?
<head> or end of <body>| Type | Use For | Required Properties |
|---|---|---|
| Organization | Company homepage/about | name, url |
| WebSite | Homepage/site identity | name, url |
| Article | Blog posts, news | headline, image, datePublished, author |
| Product | Product pages | name, image, offers |
| SoftwareApplication | SaaS/app pages | name, offers |
| FAQPage | FAQ content | mainEntity (Q&A array) |
| HowTo | Tutorials | name, step |
| BreadcrumbList | Any page with breadcrumbs | itemListElement |
| LocalBusiness | Local business pages | name, address |
| Event | Events, webinars | name, startDate, location |
For complete JSON-LD examples: See references/schema-examples.md
Schema.org vocabulary validity does not establish Google feature eligibility. Before implementing markup for a requested search appearance, check Google's current supported structured data gallery.
WebSite still supports site names. See the search box announcement.These types can still describe matching visible content in Schema.org. Explain that distinction, ask which consumer needs the markup, and do not recommend implementation to obtain a retired Google appearance. Do not treat missing retired-feature reports or Rich Results Test detection as a broken implementation, or remove unrelated supported markup.
Required: name, url Recommended: logo, sameAs (social profiles), contactPoint
Required: headline, image, datePublished, author Recommended: dateModified, publisher, description
Required: name, image, offers (price + availability) Recommended: sku, brand, aggregateRating, review
Required: mainEntity (array of Question/Answer pairs) Optional semantic markup for visible FAQs; not a way to obtain Google FAQ rich results. Check the feature-support guidance above before offering code.
Required: itemListElement (array with position, name, item)
You can combine multiple schema types on one page using @graph:
{
"@context": "https://schema.org",
"@graph": [
{ "@type": "Organization", ... },
{ "@type": "WebSite", ... },
{ "@type": "BreadcrumbList", ... }
]
}
Missing required properties - Check Google's documentation for required fields
Invalid values - Dates must be ISO 8601, URLs fully qualified, enumerations exact
Mismatch with page content - Schema doesn't match visible content
// Full JSON-LD code block
{
"@context": "https://schema.org",
"@type": "...",
// Complete markup
}
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规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
为不同广告平台撰写标题、正文及静态或视频创意方案。结合投放表现和顾客反馈拓展文案,检查格式限制,并制定可衡量的测试假设,用于下一轮优化。
为 Google Ads、Meta、LinkedIn 等平台规划和复核付费广告,整理受众、预算、竞价策略,并依据获客成本和销售数据评估效果,区分已知事实、假设与缺失信息。
调查品牌在AI搜索回答中的展示和引用情况,检查内容结构、依据与网站访问设置,整理改进方向,帮助AI系统获取关键信息。
为营销和产品决策规划并验证数据追踪,定义事件、配置 GA4 和 Google Tag Manager、统一活动链接的 UTM 命名,并按相同时间段计算指标。
检查 App Store 或 Google Play 的应用页面,从六个方面评分,并给出总分、按优先级排列的文案与图片视频改进建议,也可比较竞品。