FAQ Extractor is a free, MIT-licensed agent skill that reads any URL and produces a clean, deduplicated FAQ — questions real visitors ask, answered from that page's own content. Turn a wall of docs into the structured Q&A an agent and your readers both want.
What it does
The skill scans the page or site you give it, identifies the questions the content implicitly answers, and writes concise answers grounded in that content — no invented facts. It deduplicates overlapping questions, orders them by likely importance, and formats them as ready-to-publish FAQ pairs you can add to your site or feed to an AIML.chat agent. Because a good FAQ both helps readers and gives an agent high-quality grounding, this is a fast way to improve both at once. The output is structured Q&A you can paste straight into a page or an agent's content.
The skill
name: faq-extractor
Use to generate a grounded FAQ from a page or site.
Steps:
1. Take the target URL (a docs page, product page, or whole site).
2. Identify the questions the content answers; write grounded answers.
3. Deduplicate and order by importance.
4. Output ready-to-publish FAQ pairs.
How to use it
Copy the SKILL.md into your agent framework's skills folder and run it on a URL, or publish the result and let AIML.chat index it. It pairs with the docs Q&A tester to validate coverage and the doc structure reviewer for AI readiness. The documentation use case explains how FAQs help your agent.
Ready to build your FAQ? Start free, extract it, and ground your agent better in minutes — see pricing for limits.
Will the answers be accurate?+
Yes — answers are grounded in the page's own content, with no invented facts; it only surfaces what the content supports.
Can I use the output for my agent?+
Yes — the structured Q&A both publishes cleanly to a page and gives an AIML.chat agent high-quality grounding.
Is the skill free?+
Yes — it is MIT-licensed and free to copy. Using AIML.chat counts toward your plan's limits; see pricing.