faq
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.
Profile →npx skills add hogan-tech/brand-loom --skill faq --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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:** ```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 ```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)
- Quick start
- Install
- Going further
pip install brand-loom # standalone (no coding agent needed) npx skills add hogan-tech/brand-loom # via skills.sh
What does the faq skill do?
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.
How do I install it?
Run `npx skills add hogan-tech/brand-loom --skill faq --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From hogan-tech/brand-loom, a repository with 17 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.