---
name: Schema.org Markup
slug: schema-org
category: SEO
description: Generates Schema.org JSON-LD structured data for SEO. Supports FAQPage, Article, and Breadcrumb types — no LLM required, pure Python.
github: "https://github.com/hogan-tech/brand-loom/tree/main/skills/schema-org"
language: Python
stars: 21
forks: 2
install: "git clone https://github.com/hogan-tech/brand-loom"
added: 2026-07-16T13:43:12.795Z
last_synced: 2026-07-18T04:41:49.232Z
canonical_url: "https://dirskills.com/skills/schema-org"
---

# Schema.org Markup

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

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

## README

# 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:**
  ```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

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

## Going further

Want hooks auto-matched to your brand voice, across every platform, no setup? → [neoxra.com](https://neoxra.com)