agentleFS
kesslernitykesslernity/awesome-copilot-agent-skills/skills/marketing-communications/faq-builder/SKILL.md

faq-builder

Skill8 starsChanged 45 days agoCC-BY-SA-4.0View on GitHub

Turns a set of questions (form exports, helpdesk logs, meeting Q and A, chat threads, a plain list) plus the source documents the user supplies into a DRAFT FAQ grouped by theme: every answer quoted or paraphrased from a named source with a reference, verbatim quotes for dates, figures, eligibility and obligations, UNKNOWN where the sources are silent, a source register with precedence, a conflicts table and a routing list of unanswered questions to owners. Use when the user asks to "build an FAQ from these documents", "answer these questions from the policy", "turn the Q and A into an FAQ page", "group these questions and answer them from the guide" or "what do our documents say about these questions". Do not use for the manager FAQ of a changed HR policy, use policy-change-briefing instead; for checking whether a document's own claims are evidenced, use claims-evidence-map. Drafts for human review; never approves, authorises or signs off.

We split this skill into the rules it gives an agent

6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.