Schema.org Markup Generator
SkillDocs & knowledgeUse when you need Schema.org JSON-LD structured data. Pure Python — no LLM call required. Supports FAQPage, Article, Breadcrumb. Part of brand-loom; hosted brand-memory version at neoxra.com.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Schema.org Markup Generator skill
What this skill tells your AI
The instructions your AI receives, as published by hogan-tech/brand-loom in skills/schema-org/SKILL.md and read by ahel’s review.
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
Want hooks auto-matched to your brand voice, across every platform, no setup? → neoxra.com
Signals
- GitHub stars
- 22
- Forks
- 4
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
schema-org- Source
- github.com/hogan-tech/brand-loom