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.From its SKILL.md
npx -y skills add hogan-tech/brand-loom --skill faqAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 22 stars22 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
1.5 KB, 227 tokens by cl100k_base, as published. Nobody here has run it
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
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most customer support skills give in 227 tokens
Counted across 123 of the 124 authors here whose files we hold, read 2026-08-07
- Call RUBE_SEARCH_TOOLS first to get current schemasin 12 of 123, across 4 files
- Confirm connection status is ACTIVE before running workflowsin 12 of 123, across 4 files
- Stop and ask for clarification if required inputs are missingin 9 of 123, across 2 files
- Call RUBE_MANAGE_CONNECTIONS with the helpdesk toolkitin 9 of 123, across 2 files
- Use both timestamp and ID for cursor navigationin 8 of 123, across 1 file
- Implement backoff on 429 responsesin 8 of 123, across 1 file
- Parse response data defensively with fallback patternsin 8 of 123, across 1 file
- Use this skill only when the task clearly matches the scopein 8 of 123, across 1 file
- Pass a JSON file as the positional argumentin 7 of 123, across 1 file
- Specify output format with the --format flagin 7 of 123, across 1 file
- Run health, churn, and expansion scripts togetherin 7 of 123, across 1 file
- Verify output files contain expected records before continuingin 7 of 123, across 1 file
Said here and by no other author read
- run via cli, chain, or python
- use a chosen provider before running
- pass target text as input
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.