A specialized automation tool for implementing, auditing, and fixing schema.org structured data to enhance search engine visibility and rich results.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install schema-markup
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install schema-markup using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Schema Markup?
The Schema Markup skill is a comprehensive tool designed to help developers implement high-quality structured data using Google's recommended JSON-LD format. It streamlines the process of adding rich snippets for products, FAQs, articles, and more, ensuring your content is fully understood by search engine crawlers.
By integrating these Openclaw Skills into your development workflow, you can automate the creation of complex @graph structures and ensure compliance with the latest schema.org standards. This tool bridges the gap between raw content and search engine visibility, making it easier to manage metadata across static and dynamic applications.
Schema Markup Use Cases
- Adding structured data to new or existing web pages to improve SEO performance.
- Identifying and fixing schema validation errors or warnings in Google Search Console.
- Optimizing specific pages for rich results such as FAQ dropdowns, product ratings, or breadcrumb navigation.
- Implementing dynamic JSON-LD within modern frameworks like React or Next.js.
- Auditing legacy microdata or RDFa to migrate toward cleaner, more maintainable JSON-LD implementations.
How Schema Markup Works
- Analyze the page type and primary content to determine the most effective rich result targets.
- Assess existing schema markup to identify errors, warnings, or missing required properties.
- Generate or repair the JSON-LD structure using required fields like headlines, dates, authors, or pricing.
- Integrate the generated script into the application's head or body using framework-appropriate methods.
- Validate the implementation using the Google Rich Results Test or Schema.org Validator to ensure eligibility.
Schema Markup Setup
To add this capability to your agent, run the following command in your terminal:
npx clawhub@latest install schema-markup
Schema Markup Data Schema & Taxonomy
The skill organizes structured data into logical entities following the schema.org taxonomy. Below is how the data is typically structured:
| Component | Type | Description |
|---|---|---|
| JSON-LD Payload | Script | The final application/ld+json output for HTML injection. |
| @graph | Array | A collection of related entities (e.g., Organization + WebSite) linked via @id references. |
| Required Fields | Metadata | Critical properties like name, url, image, and datePublished. |
| Validation Rules | Checklist | Logic to ensure ISO 8601 date formats and numeric-only price values. |
Schema Markup Advanced Features
- Support for complex @graph structures that link multiple entities within a single script block to reduce redundancy.
- Framework-specific implementation logic for React and Next.js using dangerouslySetInnerHTML patterns.
- Automated validation checklists that cross-reference visible page content with structured data to prevent Google policy violations.
- Advanced mapping for diverse schema types including SoftwareApplication, HowTo, and LocalBusiness.
- Optimized handling of dynamic data such as real-time product availability and aggregate review ratings.
SKILL.md
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