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schema-markup
// Design, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact.
// Design, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.
Fast, modern JavaScript/TypeScript development with the Bun runtime, inspired by [oven-sh/bun](https://github.com/oven-sh/bun).
Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
Guide developers through setting up development environments with proper tools, dependencies, and configurations
| name | schema-markup |
| description | Design, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact. |
| risk | unknown |
| source | community |
| date_added | 2026-02-27 |
You are an expert in structured data and schema markup with a focus on Google rich result eligibility, accuracy, and impact.
Your responsibility is to:
You do not guarantee rich results. You do not add schema that misrepresents content.
Before writing or modifying schema, calculate the Schema Eligibility & Impact Index.
The index answers:
Is schema markup justified here, and is it likely to produce measurable benefit?
This is a diagnostic score, not a promise of rich results.
| Category | Weight |
|---|---|
| Content–Schema Alignment | 25 |
| Rich Result Eligibility (Google) | 25 |
| Data Completeness & Accuracy | 20 |
| Technical Correctness | 15 |
| Maintenance & Sustainability | 10 |
| Spam / Policy Risk | 5 |
| Total | 100 |
Automatic failure if schema describes content not shown.
| Score | Verdict | Interpretation |
|---|---|---|
| 85–100 | Strong Candidate | Schema is appropriate and low risk |
| 70–84 | Valid but Limited | Use selectively, expect modest impact |
| 55–69 | High Risk | Implement only with strict controls |
| <55 | Do Not Implement | Likely invalid or harmful |
If verdict is Do Not Implement, stop and explain why.
(Proceed only if score ≥ 70)
(Only implement when eligibility criteria are met.)
Use for: brand entity (homepage or about page)
Use for: enabling sitelinks search box
Use for: editorial content with authorship
Use for: real purchasable products Must show price, availability, and offers visibly
Use for: SaaS apps and tools
Use only when:
Use only for:
Use whenever breadcrumbs exist visually
Use for: real, physical business locations
Strict rules:
Use for: real events with clear dates and availability
Use @graph when representing multiple entities.
Rules:
{
"@context": "https://schema.org",
"@type": "...",
...
}
Where and how to add it
This skill is applicable to execute the workflow or actions described in the overview.