IntermediateAgent Skill

Schema (formerly Schema Markup)

Draft or repair JSON-LD that matches the visible page content.

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Claude Code · Codex
01

What this Skill does

Draft or repair JSON-LD that matches the visible page content. The current skill is named schema and includes type examples, entity linking, and validation steps.

02

What makes it different

01

Approach and advantage

The current skill is named schema and includes type examples, entity linking, and validation steps.

02

What you can use it for

Draft Product markup from confirmed page facts; Repair conflicting entities and breadcrumb markup; Prepare validation checks for a JSON-LD change.

03

Before you install

Inputs to prepare

Rendered page content, existing structured data, entity details, and current eligibility requirements.

Agent and runtime

Use a compatible agent that can discover the installed Skill and read its supporting files. Any external service or creative runtime must be configured separately.

Scope to confirm

Markup cannot guarantee rich results. Do not invent prices, reviews, or eligibility; deployment and live validation are separate.

04

Install and get started

Skills CLI

Run with Node.js/npm available and select the agent you use. This fetches the current upstream package, which may be newer than the reviewed commit.

  1. Choose the method for your agent and install the complete package, not just the displayed SKILL.md.
  2. Rendered page content, existing structured data, entity details, and current eligibility requirements.
  3. Start a new agent session and explicitly ask to use schema. Try one use case below with a small sample and review the output.
npx skills add coreyhaines31/marketingskills --skill schema
05

Original Skill.md

This is the unchanged source SKILL.md for the reviewed version. Install the complete package to retain referenced scripts, assets, and instructions. Starter prompts below are EcomAgentTools examples.

Source and package files reviewed on October 25, 2026: GitHub e85f3cbc2e4a. Current package identifier: schema. This is a static review, not an installation or business-outcome test.

View the reviewed source · MIT

License notice
MIT License

Copyright (c) 2025 Corey Haines

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
---
name: schema
description: 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.
metadata:
  version: 2.0.2
---

# 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.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:

1. **Page Type** - What kind of page? What's the primary content? What rich results are possible?

2. **Current State** - Any existing schema? Errors in implementation? Which rich results already appearing?

3. **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 `<head>` or end of `<body>`

### 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/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](references/schema-examples.md)

### Check Google Feature Support First

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](https://developers.google.com/search/docs/appearance/structured-data/search-gallery).

- **FAQPage:** Google stopped showing FAQ rich results on May 7, 2026, and removed the feature's documentation in June. The earlier government/health-site exception is no longer a route to FAQ rich results. See Google's [documentation updates](https://developers.google.com/search/updates).
- **HowTo:** Google retired HowTo rich results in September 2023. See the [retirement announcement](https://developers.google.com/search/blog/2023/08/howto-faq-changes).
- **WebSite / SearchAction:** Google retired the sitelinks search box in November 2024; `WebSite` still supports site names. See the [search box announcement](https://developers.google.com/search/blog/2024/10/sitelinks-search-box).

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.

---

## 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)
Optional semantic markup for visible FAQs; not a way to obtain Google FAQ rich results. Check the feature-support guidance above before offering code.

### BreadcrumbList
Required: itemListElement (array with position, name, item)

---

## Multiple Schema Types

You can combine multiple schema types on one page using `@graph`:

```json
{
  "@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 — test Google's currently supported features, not every Schema.org type
- **Schema.org Validator**: https://validator.schema.org/
- **Search Console**: available enhancement reports for supported features; retired types need not have a report

### 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
```json
// Full JSON-LD code block
{
  "@context": "https://schema.org",
  "@type": "...",
  // Complete markup
}
```

### Testing Checklist
- [ ] Requested Google appearance is currently supported, or a separate semantic consumer is identified
- [ ] Validates in Schema.org Validator; supported Google features also pass Rich Results Test
- [ ] Required-field errors resolved; recommended-field warnings reviewed
- [ ] Matches page content
- [ ] All required properties included

---

## Task-Specific Questions

1. What type of page is this?
2. What rich results are you hoping to achieve?
3. What data is available to populate the schema?
4. Is there existing schema on the page?
5. 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
06

Get started

Starter prompts for the main use cases—copy and use them directly.

01

Draft Product markup from confirmed page facts

Draft Product markup from confirmed page facts Use for: Draft Product markup from confirmed page facts. Prepare: Rendered page content, existing structured data, entity details, and current eligibility requirements.

Show prompt and variablesHide prompt and variables
Use the installed schema Skill. Task: Draft Product markup from confirmed page facts. Inputs: [INPUT]. Constraints: [CONSTRAINTS]. Check missing information first. Produce a reviewable result with evidence, assumptions, and next steps. Markup cannot guarantee rich results. Do not invent prices, reviews, or eligibility; deployment and live validation are separate.

Replace these variables

[INPUT]
Rendered page content, existing structured data, entity details, and current eligibility requirements.
[CONSTRAINTS]
Scope, allowed actions, output format, and review requirements.
02

Repair conflicting entities and breadcrumb markup

Repair conflicting entities and breadcrumb markup Use for: Repair conflicting entities and breadcrumb markup. Prepare: Rendered page content, existing structured data, entity details, and current eligibility requirements.

Show prompt and variablesHide prompt and variables
Use the installed schema Skill. Task: Repair conflicting entities and breadcrumb markup. Inputs: [INPUT]. Constraints: [CONSTRAINTS]. Check missing information first. Produce a reviewable result with evidence, assumptions, and next steps. Markup cannot guarantee rich results. Do not invent prices, reviews, or eligibility; deployment and live validation are separate.

Replace these variables

[INPUT]
Rendered page content, existing structured data, entity details, and current eligibility requirements.
[CONSTRAINTS]
Scope, allowed actions, output format, and review requirements.
03

Prepare validation checks for a JSON-LD change

Prepare validation checks for a JSON-LD change Use for: Prepare validation checks for a JSON-LD change. Prepare: Rendered page content, existing structured data, entity details, and current eligibility requirements.

Show prompt and variablesHide prompt and variables
Use the installed schema Skill. Task: Prepare validation checks for a JSON-LD change. Inputs: [INPUT]. Constraints: [CONSTRAINTS]. Check missing information first. Produce a reviewable result with evidence, assumptions, and next steps. Markup cannot guarantee rich results. Do not invent prices, reviews, or eligibility; deployment and live validation are separate.

Replace these variables

[INPUT]
Rendered page content, existing structured data, entity details, and current eligibility requirements.
[CONSTRAINTS]
Scope, allowed actions, output format, and review requirements.
07

Risks and operating notes

Known limits

Markup cannot guarantee rich results. Do not invent prices, reviews, or eligibility; deployment and live validation are separate.

Evidence and review

Source and package files reviewed on October 25, 2026: GitHub e85f3cbc2e4a. Current package identifier: schema. This is a static review, not an installation or business-outcome test.

Before acting on the result

Use authorized inputs and keep secrets out of prompts. Review customer-facing claims, calculations, code changes, and any proposed external action before applying them.

Frequently asked questions

What does it do, and what is the advantage?

Draft or repair JSON-LD that matches the visible page content. The current skill is named schema and includes type examples, entity linking, and validation steps.

How do I install it and start?

Choose the method for your agent and install the complete package, not just the displayed SKILL.md. Rendered page content, existing structured data, entity details, and current eligibility requirements. Start a new agent session and explicitly ask to use schema. Try one use case below with a small sample and review the output.

Which situations is it useful for?

Draft Product markup from confirmed page facts; Repair conflicting entities and breadcrumb markup; Prepare validation checks for a JSON-LD change

What limitations should I know?

Markup cannot guarantee rich results. Do not invent prices, reviews, or eligibility; deployment and live validation are separate.

What was checked for this page?

Source and package files reviewed on October 25, 2026: GitHub e85f3cbc2e4a. Current package identifier: schema. This is a static review, not an installation or business-outcome test.

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Author / maintainer

Corey Haines

Source and package files reviewed on October 25, 2026: GitHub e85f3cbc2e4a. Current package identifier: schema. This is a static review, not an installation or business-outcome test.

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