Schema Markup
/install abm-schema-markup
Schema Markup
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.
Initial Assessment
Check for product marketing context first:
If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md 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?
Core Principles
1. Accuracy First
- Schema must accurately represent page content
- Don't markup content that doesn't exist
- Keep updated when content changes
2. Use JSON-LD
- Google recommends JSON-LD format
- Easier to implement and maintain
- Place in
\x3Chead>or end of\x3Cbody>
3. Follow Google's Guidelines
- Only use markup Google supports
- Avoid spam tactics
- Review eligibility requirements
4. Validate Everything
- Test before deploying
- Monitor Search Console
- Fix errors promptly
Common Schema Types
| Type | Use For | Required Properties |
|---|---|---|
| Organization | Company homepage/about | name, url |
| WebSite | Homepage (search box) | 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
Quick Reference
Organization (Company Page)
Required: name, url Recommended: logo, sameAs (social profiles), contactPoint
Article/BlogPosting
Required: headline, image, datePublished, author Recommended: dateModified, publisher, description
Product
Required: name, image, offers (price + availability) Recommended: sku, brand, aggregateRating, review
FAQPage
Required: mainEntity (array of Question/Answer pairs)
BreadcrumbList
Required: itemListElement (array with position, name, item)
Multiple Schema Types
You can combine multiple schema types on one page using @graph:
{
"@context": "https://schema.org",
"@graph": [
{ "@type": "Organization", ... },
{ "@type": "WebSite", ... },
{ "@type": "BreadcrumbList", ... }
]
}
Validation and Testing
Tools
- Google Rich Results Test: https://search.google.com/test/rich-results
- Schema.org Validator: https://validator.schema.org/
- Search Console: Enhancements reports
Common Errors
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
Implementation
Static Sites
- Add JSON-LD directly in HTML template
- Use includes/partials for reusable schema
Dynamic Sites (React, Next.js)
- Component that renders schema
- Server-side rendered for SEO
- Serialize data to JSON-LD
CMS / WordPress
- Plugins (Yoast, Rank Math, Schema Pro)
- Theme modifications
- Custom fields to structured data
Output Format
Schema Implementation
// Full JSON-LD code block
{
"@context": "https://schema.org",
"@type": "...",
// Complete markup
}
Testing Checklist
- Validates in Rich Results Test
- No errors or warnings
- Matches page content
- All required properties included
Task-Specific Questions
- What type of page is this?
- What rich results are you hoping to achieve?
- What data is available to populate the schema?
- Is there existing schema on the page?
- What's your tech stack?
Related Skills
- seo-audit: For overall SEO including schema review
- ai-seo: For AI search optimization (schema helps AI understand content)
- programmatic-seo: For templated schema at scale
- site-architecture: For breadcrumb structure and navigation schema planning
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install abm-schema-markup - 安装完成后,直接呼叫该 Skill 的名称或使用
/abm-schema-markup触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Schema Markup 是什么?
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 da... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 150 次。
如何安装 Schema Markup?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install abm-schema-markup」即可一键安装,无需额外配置。
Schema Markup 是免费的吗?
是的,Schema Markup 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Schema Markup 支持哪些平台?
Schema Markup 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Schema Markup?
由 Mario Karras(@mariokarras)开发并维护,当前版本 v1.0.0。