Agent skill

Schema Markup

by mohitagw15856 in mohitagw15856/pm-claude-skills

Generate structured-data (Schema.org / JSON-LD) markup to win rich results in search.

MITAuto-check passedMarketing & SEO

Install Schema Markup

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill schema-markup -a claude-code

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

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills schema-markup --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/schema-markup .claude/skills/schema-markup && 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
GitHub stars
1.4k
Token cost
~838 tokens
SKILL.md length
397 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Generate structured-data (Schema.org / JSON-LD) markup to win rich results in search.

  • Asked about schema markup
  • SKILL.md covers Required Inputs, Output Format, Quality Checks and Anti-Patterns, plus 2 more sections
  • Reaches schema.org
  • Structured data

What it does

Schema Markup is an agent skill from mohitagw15856/pm-claude-skills. Generate structured-data (Schema.org / JSON-LD) markup to win rich results in search. Use when asked about schema markup, structured data, rich snippets, JSON-LD, or making a page eligible for stars/FAQ/breadcrumb results. Produces valid JSON-LD for the right schema type, the rich-result it targets, required vs. recommended fields, and validation/guideline notes.

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. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked about schema markup
  • Structured data
  • Making a page eligible for stars/FAQ/breadcrumb results

Example prompts

  • “/schema-markup”

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. 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 Markup loads about 838 tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 397 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~838

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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 397 words, ~838 tokens.

Download SKILL.mdSave it as .claude/skills/schema-markup/SKILL.md (or your agent's skills folder).
name
schema-markup
description
Generate structured-data (Schema.org / JSON-LD) markup to win rich results in search. Use when asked about schema markup, structured data, rich snippets, JSON-LD, or making a page eligible for stars/FAQ/breadcrumb results. Produces valid JSON-LD for the right schema type, the rich-result it targets, required vs. recommended fields, and validation/guideline notes.

Schema Markup Skill

Structured data tells search engines exactly what a page is — a product, a recipe, an FAQ, an event — making it eligible for rich results (star ratings, FAQ drop-downs, breadcrumbs) that win clicks. This skill produces valid JSON-LD for the right Schema.org type, with the fields Google actually requires, and flags the guideline traps that get markup ignored or penalised.

Required Inputs

Ask for these only if they aren't already provided:

  • The page & its content — what the page is (product, article, FAQ, local business, event, recipe, how-to…).
  • The rich result you want — e.g. review stars, FAQ accordion, breadcrumbs, sitelinks, event listing.
  • The data — the actual values (name, price, rating, dates, Q&As) — markup must match visible content.

Output Format

Schema markup: [type] for [page]

Target rich result — which Google rich result this enables, and the eligibility note (e.g. review snippets need real, visible reviews).

Schema type — the correct Schema.org type (and any nesting, e.g. Product → AggregateRating + Offer).

JSON-LD — ready to paste in a <script type="application/ld+json"> block:

json
{
  "@context": "https://schema.org",
  "@type": "...",
  "...": "..."
}

Use the real provided values; mark any placeholders clearly.

Required vs. recommended fields — what Google requires for the rich result vs. nice-to-have, so nothing essential is missing.

Validation & guidelines — test in Google's Rich Results Test + Schema validator; the key rules: markup must reflect visible page content, no fake/marked-up-but-hidden data, no review spam (no self-serving aggregate ratings without real reviews). Note anything that would disqualify it.

Show full SKILL.md (165 more words)Show less

Quality Checks

  • The schema type matches the page content and the intended rich result
  • The JSON-LD is valid (proper @context/@type, correct nesting) and uses real values
  • All Google-required fields for that rich result are present
  • Markup reflects content actually visible on the page — no hidden or fabricated data
  • Validation steps and the relevant structured-data guidelines are noted

Anti-Patterns

  • Do not mark up content that isn't visible on the page — Google treats that as spam
  • Do not fabricate ratings/reviews or self-apply AggregateRating without real reviews
  • Do not omit required fields — the rich result simply won't trigger
  • Do not use the wrong type (e.g. Product for an article) — it won't validate
  • Do not ship without validating in the Rich Results Test

Based On

Schema.org structured data + Google's structured-data guidelines for rich results (JSON-LD, required fields, content-match rules).

Example Trigger Phrases

  • "Add schema markup to this page."
  • "Write JSON-LD for our product pages."
  • "Get rich snippets for our FAQ."
  • "Make this page eligible for star ratings in search."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/schema-markup of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Schema Markup 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Schema Markup this skillmohitagw15856/pm-claude-skills1.4k—~838Automated 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-skills4551 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

What does Schema Markup do?

Generate structured-data (Schema.org / JSON-LD) markup to win rich results in search. Schema Markup is an agent skill from mohitagw15856/pm-claude-skills.org / JSON-LD) markup to win rich results in search.

When should I use Schema Markup?

Schema Markup fits situations like: asked about schema markup; structured data; making a page eligible for stars/FAQ/breadcrumb results.

How do I install Schema Markup in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill schema-markup -a claude-code`. Or copy the skill folder (skills/schema-markup in mohitagw15856/pm-claude-skills) into .claude/skills/schema-markup in your project. Claude Code loads it when a task matches its description.

How do I install Schema Markup in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill schema-markup -a codex`. Or copy the skill folder (skills/schema-markup in mohitagw15856/pm-claude-skills) into .agents/skills/schema-markup in your project. Codex loads it when a task matches its description.

Can I use Schema Markup 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 mohitagw15856/pm-claude-skills --skill schema-markup -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, .gemini/skills/schema-markup, .github/skills/schema-markup and .opencode/skills/schema-markup in your project.

What does Schema Markup need to run?

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

Does Schema Markup 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 Markup 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 use?

Schema Markup 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 Markup use?

About 838 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 Markup?

Skills that share tags, products or a category with Schema Markup: 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, 455 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?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.