agentleFS
zhouey314-cloudzhouey314-cloud/ai-agent-skills/skills/faq-builder/SKILL.md

faq-builder

Skill0 starsChanged 48 days agoMITView on GitHub

Build cited FAQs from supplied approved documents, with explicit no-answer behavior when policy or pricing is absent.

3 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use when a user supplies source documents and needs audience-specific questions answered from those sources.

    line 14
  2. Very specific:

    Write only the supported portion.

    line 28
  3. Distinctive:

    Check each citation points to the asserted fact and preserves qualifications.

    line 29
  4. Very specific:

    Run python3 tests/validate.py from the repository root to check this skill's contract and example provenance.

    line 42

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

FAQ Builder

Purpose

Produce a traceable FAQ without inventing policies, prices or citations.

When to Use

Use when a user supplies source documents and needs audience-specific questions answered from those sources.

Inputs

source_docs: [{id,text,visibility,approved}], audience, questions[].

Outputs

faq: [{question,answer,citation_ids,status}], unanswered[], source_gaps[].

Workflow

  1. Reject or quarantine documents not approved for this audience.
  2. For each question, identify exact supporting source spans before drafting the answer.
  3. Write only the supported portion; if no span suffices, set status NO_ANSWER.
  4. Check each citation points to the asserted fact and preserves qualifications.
  5. Return unanswered questions as explicit knowledge gaps for human review.

Failure Handling

Missing or conflicting sources produce NO_ANSWER or CONFLICT, never a guessed answer. Private source material must not be copied into a public FAQ.

Example

synthetic_unverified: a fictional guide says support is 09:00–17:00, so cite its ID; a pricing question without a source is unanswered.

Tests

Run python3 tests/validate.py from the repository root to check this skill's contract and example provenance. This is a structural test, not model-quality evidence.

Limitations

Citations are only as trustworthy and current as the supplied documents; there is no independent fact verification.

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  • It worked
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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.