faq

name	faq
slug	faq
displayName	FAQ Generator
summary	Generate FAQ question-answer pairs from any content
description	Use when you need FAQ items from a body of text. Generates 3-6 Q&A pairs. Model-agnostic. Part of brand-loom; hosted brand-memory version at neoxra.com.
version	0.1.0
license	Apache-2.0
compatibility	Claude Code, Cursor, OpenClaw, or standalone via pip install brand-loom
homepage	https://github.com/hogan-tech/brand-loom
when_to_use	FAQs, Q&A sections, knowledge base entries, help content
argument-hint	<body_text> [--count 5] [--brand brand.json]
metadata	{"author":"hogan-tech","discipline":"marketing","hosted":"https://neoxra.com"}

FAQ Generator

Use when you need FAQ items from a body of text. Generates 3-6 Q&A pairs. Model-agnostic.

Quick start

• CLI: brand-loom run faq --text "Our product helps teams..."
• 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("faq", "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