Schema.org Markup

Schema.org Markup is an SEO skill for Claude Code, published by hogan-tech in brand-loom.

21 stars2 forkson hogan-tech/brand-loomAdded 2026/07/16+11% in starsRepository updated 2026/07/17

agent-skillsai-agentsai-marketinganthropicbyokclaudecontent-generationcursorgeminigeollmmarketingmarketing-automationmarketing-skillsmodel-agnosticollamaopenaipythonseo

Install in seconds

Install Schema.org Markup

Copy Schema.org Markup into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/hogan-tech/brand-loom/tree/main/skills/schema-org ~/.claude/skills/schema-org

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/hogan-tech/brand-loom.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/schema-org/SKILL.md in hogan-tech/brand-loom
Installs to: ~/.claude/skills/schema-org
Collection: One of 10 skills cataloged from this repository
Category: SEO — 199 skills

What Schema.org Markup does

Generates Schema.org JSON-LD structured data for SEO. Supports FAQPage, Article, and Breadcrumb types — no LLM required, pure Python.

Schema.org Markup is cataloged under SEO on DirSkills. Schema.org Markup comes from a repository tagged agent-skills, ai-agents, ai-marketing, anthropic and byok.

Documentation

README

Excerpt

Schema.org Markup Generator

Use when you need Schema.org JSON-LD structured data. Pure Python — no LLM call required. Supports FAQPage, Article, Breadcrumb.

Quick start

CLI: brand-loom run schema_org --text '[{"q":"What is X?","a":"X is..."}]'
Chain: brand-loom chain faq,schema_org --text "Our product helps teams..."

Python:

from brand_loom.agent import run_skill
from brand_loom.providers import use_provider

use_provider("openai")  # or "anthropic", "gemini", "ollama", "fake"
result = run_skill("schema_org", "your topic here")
print(result.text)

Install

pip install brand-loom            # standalone (no coding agent needed)
npx skills add hogan-tech/brand-loom  # via skills.sh

Going further

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Schema.org Markup

What else does hogan-tech publish alongside Schema.org Markup?
Schema.org Markup is one of 10 skills that DirSkills catalogs from hogan-tech/brand-loom, the repository it ships in. Its siblings there include Bilingual Translator, CTA Writer and Caption Writer. Each one is a separate skill with its own page in this directory, installs the same way Schema.org Markup does, and is maintained by hogan-tech in that same repository. The rest of the collection is listed on the hogan-tech/brand-loom page.
How does Schema.org Markup compare to other SEO skills?
Schema.org Markup ranks #194 by stars among the 199 SEO skills in this catalog. The most-starred ones next to it are App Store Optimization, Answer Engine Optimization and SEO Analysis. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Schema.org Markup against them. Open each page to compare what they document and how they install.