Agent skill

Schema Generator

Generate JSON-LD schema markup for pages and content types with an implementation checklist.

Install Schema Generator

skills CLI

$ npx skills add mverab/eGEOagents --skill schema-generator -a claude-code

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

GitHub CLI

$ gh skill install mverab/eGEOagents schema-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/mverab/eGEOagents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/schema-generator .claude/skills/schema-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/

Paste into Claude Code

Install the "schema-generator" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/schema-generator into .claude/skills/schema-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-generator", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/mverab/eGEOagents/tree/main/.claude/skills/schema-generator

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add mverab/eGEOagents --skill schema-generator -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install mverab/eGEOagents schema-generator --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/schema-generator .agents/skills/schema-generator && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "schema-generator" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/schema-generator into .agents/skills/schema-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-generator", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mverab/eGEOagents --skill schema-generator -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install mverab/eGEOagents schema-generator --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/schema-generator .cursor/skills/schema-generator && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "schema-generator" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/schema-generator into .cursor/skills/schema-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-generator", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/mverab/eGEOagents.git --path .claude/skills/schema-generator

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add mverab/eGEOagents --skill schema-generator -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install mverab/eGEOagents schema-generator --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/schema-generator .gemini/skills/schema-generator && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "schema-generator" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/schema-generator into .gemini/skills/schema-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-generator", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install mverab/eGEOagents schema-generator

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add mverab/eGEOagents --skill schema-generator -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/schema-generator .github/skills/schema-generator && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "schema-generator" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/schema-generator into .github/skills/schema-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-generator", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mverab/eGEOagents --skill schema-generator -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install mverab/eGEOagents schema-generator --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/schema-generator .opencode/skills/schema-generator && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "schema-generator" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/schema-generator into .opencode/skills/schema-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-generator", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: schema-generator
GitHub stars: 197
Token cost: ~842 tokens
SKILL.md length: 112 words
Files: 1
Skills in repo: 5
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generate JSON-LD schema markup for pages and content types with an implementation checklist.

Users ask for schema
SKILL.md covers Schema Type Selection, Output Format, Implementation Checklist and Rules
Reaches schema.org
Structured data

What it does

Schema Generator is an agent skill from mverab/eGEOagents. Generate JSON-LD schema markup for pages and content types with an implementation checklist. Use when users ask for schema, structured data, rich snippets, or markup.

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Schema markup and AI search optimization. The repository describes itself as: Open-source Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO) toolkit — optimize content to rank in ChatGPT, Perplexity, Gemini & Claude. AI SEO / LLM SEO… The licence is MIT.

When your agent uses it

Users ask for schema
Structured data

Example prompts

“/schema-generator”

What it can do on your machine

Read from SKILL.md and the folder at commit 58ee654. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
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
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 Generator loads about 842 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 112 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~46
When it runs · the whole SKILL.md, loaded when a task matches: ~842

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 mverab/eGEOagents at commit 58ee654, republished under its MIT licence (© mverab). 112 words, ~842 tokens.

Download SKILL.mdSave it as .claude/skills/schema-generator/SKILL.md (or your agent's skills folder).

name: schema-generator
description: Generate JSON-LD schema markup for pages and content types with an implementation checklist. Use when users ask for schema, structured data, rich snippets, or markup.

Schema Generator Skill

When generating schema markup:

Schema Type Selection

Content Type	Primary Schema	Additional Types
SaaS Product	SoftwareApplication	Offer, AggregateRating
Physical Product	Product	Offer, Brand, Review
Service	Service	Provider, AreaServed
Article	Article	Author, Organization
How-To	HowTo	Step, Tool
FAQ	FAQPage	Question, Answer
About Page	Organization	ContactPoint, Address
Person/Team	Person	Organization
Event	Event	Location, Offer
Course	Course	Organization

Output Format

┌─────────────────────────────────────────────────────────────┐
│  🏗️ SCHEMA MARKUP GENERATED                                 │
├─────────────────────────────────────────────────────────────┤
│  Type: [Schema Type]                                        │
│  Validation: ✓ Valid JSON-LD                                │
└─────────────────────────────────────────────────────────────┘

## JSON-LD (copy to <head>)

```html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Product Name",
  "description": "GEO-optimized description",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web",
  "offers": {
    "@type": "Offer",
    "price": "99",
    "priceCurrency": "USD"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "[FILL: rating]",
    "reviewCount": "[FILL: review count]"
  }
}
</script>

Implementation Checklist

Add JSON-LD to page <head> section
Fill in [FILL: ...] placeholders with real data
Test with Google Rich Results Test
Verify in Google Search Console


## Common Templates

### SaaS/Software
```json
{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "",
  "description": "",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web",
  "offers": {
    "@type": "Offer",
    "price": "",
    "priceCurrency": "USD",
    "priceValidUntil": ""
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "",
    "reviewCount": ""
  },
  "author": {
    "@type": "Organization",
    "name": ""
  }
}

B2B Service

json

{
  "@context": "https://schema.org",
  "@type": "Service",
  "name": "",
  "description": "",
  "serviceType": "",
  "provider": {
    "@type": "Organization",
    "name": "",
    "url": ""
  },
  "areaServed": {
    "@type": "Country",
    "name": ""
  },
  "hasOfferCatalog": {
    "@type": "OfferCatalog",
    "name": "Services",
    "itemListElement": []
  }
}

FAQ Page

json

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "Question text?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Answer text."
      }
    }
  ]
}

Rules

Always output valid JSON-LD
Mark fields needing human input as [FILL: description]
Include implementation instructions
Suggest additional schema types when relevant

Files

Just SKILL.md in .claude/skills/schema-generator of mverab/eGEOagents.

Open the folder on GitHubat commit 58ee654

Compare with similar skills

Schema 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 Generator compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Schema Generator this skillmverab/eGEOagents	197	—	~842	Automated safety check: Pass	MIT	today
SEO GeoReScienceLab/opc-skills	1.8k	4 repos	~2.1k	Automated safety check: Pass	Apache-2.0	yesterday
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude	11k	—	~2.8k	Automated safety check: Notes	MIT	yesterday
Geoliangdabiao/GEO-Content-Optimizer-Skill	203	1 repos	~2.3k	Automated safety check: Notes	MIT	2 mo ago
SEO and GEO Auditdageno-agents/seo-geo-audit	176	—	~2k	Automated safety check: Pass	MIT	1 mo ago
Geo Optimizerliangdabiao/GEO-Content-Optimizer-Skill	203	—	~1.1k	Automated safety check: Pass	None	2 mo ago

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Questions about Schema Generator

What does Schema Generator do?

Generate JSON-LD schema markup for pages and content types with an implementation checklist. Schema Generator is an agent skill from mverab/eGEOagents. Generate JSON-LD schema markup for pages and content types with an implementation checklist.

When should I use Schema Generator?

Schema Generator fits situations like: users ask for schema; structured data.

How do I install Schema Generator in Claude Code?

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

How do I install Schema Generator in Codex?

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

Can I use Schema 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 mverab/eGEOagents --skill schema-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-generator, .gemini/skills/schema-generator, .github/skills/schema-generator and .opencode/skills/schema-generator in your project.

What does Schema Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Schema Generator is instructions for the agent only.

Does Schema Generator access the network?

SKILL.md names 1 domain. In commands or code: schema.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Schema 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 Generator use?

Schema Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Schema Generator use?

About 842 tokens (SKILL.md is roughly 3.4k 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 Generator?

Skills that share tags, products or a category with Schema Generator: SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars), Geo (liangdabiao/GEO-Content-Optimizer-Skill, 203 stars) and SEO and GEO Audit (dageno-agents/seo-geo-audit, 176 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Schema Generator?

mverab (a GitHub user) maintains it in mverab/eGEOagents, which has 197 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.

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

Schema Generator

Install Schema Generator

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Schema Generator Skill

Schema Type Selection

Output Format

Implementation Checklist

B2B Service

FAQ Page

Rules

Files

Compare with similar skills

Similar skills

SEO Geo

GEO-First SEO Audit Tool

Geo

SEO and GEO Audit

Geo Optimizer

Universal SEO Analysis

More from mverab/eGEOagents

Competitive Analysis

Content Scoring

Geo Loop

Validation Doctor

Questions about Schema Generator

Install Schema Generator

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Schema Generator Skill

Schema Type Selection

Output Format

Implementation Checklist

B2B Service

FAQ Page

Rules

Files

Compare with similar skills

Similar skills

More from mverab/eGEOagents

Related

Questions about Schema Generator