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Generate JSON-LD structured data markup for any website. Supports HowTo, FAQPage, Article, BlogPosting, Organization, WebSite, BreadcrumbList, Product, LocalBusiness, and MedicalWebPage types.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Optimize a content draft or existing page for AI citability using the CITE framework (Clear answer, Information density, Taxonomic structure, Expert authority).
Run a comprehensive GEO visibility audit on any website. Analyzes AI citability, structured data, AI crawler access, llms.txt, and content quality. Produces a 0-30 citability score and prioritized action plan.
MetaBot HTTP API for agent collaboration: talk to other bots, schedule tasks, manage bots and peers. Use when the user wants to delegate work to another bot, schedule tasks, create/remove bots, or check peer status.
Read and write shared memory documents. Use this when you need to save knowledge, notes, research findings, or project context for future reference across sessions. Also use it to look up previously stored information.
The meta-skill: create AI agent teams, individual agents, or custom skills for any project. Use when the user wants to generate a complete .claude/ agent team, create a single agent, or create a single skill.
| name | schema-generator |
| description | Generate JSON-LD structured data markup for any website. Supports HowTo, FAQPage, Article, BlogPosting, Organization, WebSite, BreadcrumbList, Product, LocalBusiness, and MedicalWebPage types. |
| user-invocable | true |
| allowed-tools | Bash, Read, Grep, Glob, WebFetch |
| context | fork |
You generate production-ready JSON-LD structured data for any website to maximize AI engine comprehension and rich result eligibility.
The user may provide:
If a brand.md exists in the project root, read it for publisher details (name, url, logo). Otherwise, infer from the target page.
| Page Type | Schema Types to Generate |
|---|---|
| Step-by-step guide / tutorial | HowTo + FAQPage + BreadcrumbList |
| Blog post / article | BlogPosting + FAQPage + BreadcrumbList |
| Long-form research article | Article + FAQPage + BreadcrumbList |
| Category / collection page | CollectionPage + ItemList + BreadcrumbList |
| Homepage | WebSite + Organization |
| About / company page | AboutPage + Organization |
| Product page | Product + FAQPage + BreadcrumbList |
| Local business | LocalBusiness + FAQPage |
| Health / medical content | MedicalWebPage + FAQPage + BreadcrumbList |
python3 scripts/check-schema.py <url>
Review the output: what schema types are already present, what's missing, what's incomplete. Use this as the baseline — only generate what's needed.
Read the page/content and identify:
Produce each schema block as a separate <script> tag:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "...",
...
}
</script>
# Validate JSON syntax
echo '<json-ld-content>' | python3 -m json.tool > /dev/null && echo "VALID" || echo "INVALID"
Ensure consistency:
For each page, produce:
<head>)Save to schema/[page-slug]-schema.json.