Agent skill

Schema Markup Generator

by thatrebeccarae in thatrebeccarae/claude-marketing

Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features.

MITAuto-check passedMarketing & SEO

Install Schema Markup Generator

skills CLI
$ npx skills add thatrebeccarae/claude-marketing --skill schema-markup-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install thatrebeccarae/claude-marketing schema-markup-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/thatrebeccarae/claude-marketing.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/schema-markup-generator .claude/skills/schema-markup-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
schema-markup-generator
GitHub stars
162
Token cost
~1.6k tokens
SKILL.md length
370 words
Files
4
Skills in repo
55
Repo updated
First seen
Licence
MIT

At a glance

Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features.

  • Works in 3 steps: Identify Content Type → Generate JSON-LD → Validate
  • The user needs schema markup
  • SKILL.md covers Install, When to Use, Workflow and Schema Templates, plus 3 more sections
  • Calls git; reaches schema.org and linkedin.com

What it does

Schema Markup Generator is an agent skill from thatrebeccarae/claude-marketing. Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features. Supports Article, FAQ, HowTo, Product, Review, LocalBusiness, Event, BreadcrumbList, Person, Organization, and more. Use when the user needs schema markup, structured data, rich snippets, JSON-LD, or wants to improve search appearance.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `EXAMPLES.md` and `REFERENCE.md`).

It sits in Marketing & SEO, covering Schema markup. The repository describes itself as: A full marketing department for Claude Code. Skill packs for Klaviyo, Shopify, GA4, Looker Studio, paid media, and more. Audit, optimize, and report using natural language. The licence is MIT.

When your agent uses it

  • The user needs schema markup
  • Structured data
  • Wants to improve search appearance

Example prompts

  • “/schema-markup-generator”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Identify Content Type
  2. Generate JSON-LD
  3. Validate

What it can do on your machine

Read from SKILL.md and the folder at commit a8a63ec. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • schema.org
    • linkedin.com
    • twitter.com

    Also links to:

    • search.google.com
    • validator.schema.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Schema Markup Generator loads about 1.6k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 370 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from thatrebeccarae/claude-marketing at commit a8a63ec, republished under its MIT licence (© thatrebeccarae). 370 words, ~1,631 tokens.

Download SKILL.mdSave it as .claude/skills/schema-markup-generator/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
schema-markup-generator
description
Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features. Supports Article, FAQ, HowTo, Product, Review, LocalBusiness, Event, BreadcrumbList, Person, Organization, and more. Use when the user needs schema markup, structured data, rich snippets, JSON-LD, or wants to improve search appearance.
license
MIT
origin
custom
author
Rebecca Rae Barton
author_url
https://github.com/thatrebeccarae
metadata.version
1.0.0
metadata.category
seo
metadata.domain
structured-data
metadata.updated
2026-03-18
metadata.tested
2026-03-18
metadata.tested_with
Claude Code v2.1

Schema Markup Generator

Generate JSON-LD structured data for rich results, AI citations, and enhanced search visibility.

Install

bash
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/schema-markup-generator ~/.claude/skills/

When to Use

  • Adding structured data to new or existing pages
  • Generating JSON-LD for specific schema types
  • Auditing existing schema for errors or missing fields
  • Improving AI search visibility (pairs with aeo-geo-optimizer)
  • Enabling rich results (FAQ dropdowns, star ratings, how-to steps)

Workflow

Step 1: Identify Content Type
ContentPrimary SchemaRich Result
Blog postArticleEnhanced listing with author, date
FAQ sectionFAQPageExpandable Q&A in SERPs
TutorialHowToStep-by-step with images/time
Product pageProductPrice, availability, ratings
ReviewReview + RatingStar ratings in SERPs
RecipeRecipeCooking time, ingredients, ratings
EventEventDate, location, ticket info
Local businessLocalBusinessMaps, hours, contact
Person/authorPersonKnowledge panel
BreadcrumbsBreadcrumbListBreadcrumb trail in SERPs
VideoVideoObjectVideo carousel, thumbnails
SoftwareSoftwareApplicationApp info in SERPs
CourseCourseCourse info in SERPs
DatasetDatasetDataset search results
Step 2: Generate JSON-LD

Generate a <script type="application/ld+json"> block with all required and recommended fields for the schema type. Always use JSON-LD format (not Microdata or RDFa).

Step 3: Validate

Schema Templates

Article
json
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Article Title (max 110 chars)",
  "description": "Brief description of the article",
  "author": {
    "@type": "Person",
    "name": "Author Name",
    "url": "https://example.com/author/name",
    "jobTitle": "Author Title",
    "sameAs": ["https://linkedin.com/in/author", "https://twitter.com/author"]
  },
  "publisher": {
    "@type": "Organization",
    "name": "Publisher Name",
    "logo": {"@type": "ImageObject", "url": "https://example.com/logo.png"}
  },
  "datePublished": "2026-03-18T00:00:00Z",
  "dateModified": "2026-03-18T00:00:00Z",
  "image": "https://example.com/article-image.jpg",
  "mainEntityOfPage": {"@type": "WebPage", "@id": "https://example.com/article-url"}
}
FAQPage
json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is the question?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "The complete answer text. Can include <a href=url>HTML links</a>."
      }
    }
  ]
}
HowTo
json
{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Do Something",
  "description": "Brief description",
  "totalTime": "PT30M",
  "estimatedCost": {"@type": "MonetaryAmount", "currency": "USD", "value": "0"},
  "step": [
    {
      "@type": "HowToStep",
      "name": "Step 1 Title",
      "text": "Detailed step instructions",
      "image": "https://example.com/step1.jpg"
    }
  ]
}
Product
json
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Product Name",
  "description": "Product description",
  "image": "https://example.com/product.jpg",
  "brand": {"@type": "Brand", "name": "Brand Name"},
  "sku": "SKU-12345",
  "offers": {
    "@type": "Offer",
    "price": "29.99",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "url": "https://example.com/product"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.5",
    "reviewCount": "127"
  }
}
BreadcrumbList
json
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {"@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com"},
    {"@type": "ListItem", "position": 2, "name": "Category", "item": "https://example.com/category"},
    {"@type": "ListItem", "position": 3, "name": "Current Page"}
  ]
}
Show full SKILL.md (165 more words)Show less
Schema TypeRequired FieldsRecommended Fields
Articleheadline, author, datePublished, imagedateModified, publisher, description
FAQPagemainEntity (Question + Answer)—
HowToname, steptotalTime, estimatedCost, image
Productname, offers (price + currency + availability)brand, sku, aggregateRating, image
LocalBusinessname, addressphone, hours, geo, image, priceRange
Eventname, startDate, locationendDate, offers, image, performer
PersonnamejobTitle, url, sameAs, image

Common Mistakes

  1. Missing required fields — always check per-type requirements
  2. Incorrect date format — use ISO 8601 (YYYY-MM-DDTHH:MM:SSZ)
  3. Markup does not match visible content — schema must reflect what users see
  4. Using Microdata instead of JSON-LD — Google recommends JSON-LD
  5. Nesting errors — validate JSON syntax before deploying
  6. Duplicate schema — one schema block per type per page
  7. Self-referencing Organization — publisher should be the organization, not the page

Integration with Other Skills

  • aeo-geo-optimizer — Schema is a key AEO signal; implement types recommended by the AEO audit
  • technical-seo-audit — Audit identifies missing/broken schema; this skill generates the fixes
  • seo-content-writer — Content structure should align with schema structure

© thatrebeccarae, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in skills/schema-markup-generator of thatrebeccarae/claude-marketing.

  • SKILL.md
  • EXAMPLES.md
  • LICENSE
  • REFERENCE.md

Open the folder on GitHubat commit a8a63ec

Compare with similar skills

Schema Markup Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Schema Markup Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Schema Markup Generator this skillthatrebeccarae/claude-marketing162—~1.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude11k—~2.8kAutomated safety check: NotesMIT
SEO Optimizerailabs-393/ai-labs-claude-skills4541 repos~3.2kAutomated safety check: PassMIT
Portaljs Add Dcatdatopian/portaljs2.4k1 repos~1.8kAutomated safety check: PassMIT
Schema Markupfreekmurze/dotfiles1k15 repos~1.2kAutomated safety check: PassNone

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Categories

Questions about Schema Markup Generator

What does Schema Markup Generator do?

Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features. Schema Markup Generator is an agent skill from thatrebeccarae/claude-marketing. Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features.

When should I use Schema Markup Generator?

Schema Markup Generator fits situations like: the user needs schema markup; structured data; wants to improve search appearance.

How do I install Schema Markup Generator in Claude Code?

Run `npx skills add thatrebeccarae/claude-marketing --skill schema-markup-generator -a claude-code`. Or copy the skill folder (skills/schema-markup-generator in thatrebeccarae/claude-marketing) into .claude/skills/schema-markup-generator in your project. Claude Code loads it when a task matches its description.

How do I install Schema Markup Generator in Codex?

Run `npx skills add thatrebeccarae/claude-marketing --skill schema-markup-generator -a codex`. Or copy the skill folder (skills/schema-markup-generator in thatrebeccarae/claude-marketing) into .agents/skills/schema-markup-generator in your project. Codex loads it when a task matches its description.

Can I use Schema Markup Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add thatrebeccarae/claude-marketing --skill schema-markup-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/schema-markup-generator, .gemini/skills/schema-markup-generator, .github/skills/schema-markup-generator and .opencode/skills/schema-markup-generator in your project.

What does Schema Markup Generator need to run?

Going by SKILL.md and its folder, Schema Markup Generator needs the command-line tools its instructions call (git).

Does Schema Markup Generator access the network?

SKILL.md names 5 domains. In commands or code: schema.org, linkedin.com and twitter.com; the agent is likely to contact these when it follows the instructions. As links in the text: search.google.com and validator.schema.org. This is read from the text; nothing was executed.

Is Schema Markup Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Schema Markup Generator use?

Schema Markup Generator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Schema Markup Generator use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Schema Markup Generator?

Skills that share tags, products or a category with Schema Markup Generator: SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars), SEO Optimizer (ailabs-393/ai-labs-claude-skills, 454 stars) and Portaljs Add Dcat (datopian/portaljs, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Schema Markup Generator?

thatrebeccarae (a GitHub user) maintains it in thatrebeccarae/claude-marketing, which has 162 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on May 14, 2026.

Source: thatrebeccarae/claude-marketing on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.