agentleFS
MicrosoftKnown publishermicrosoft/cat-agent-skills/submissions/customer-service-order-support/skills/knowledge-retrieve/SKILL.md

knowledge-retrieve

Skill95 starsChanged 6 days agoMITView on GitHub

Retrieves the approved knowledge article, policy text or product doc that grounds the answer for the classified intent. Use after context-assemble, or on "what's the approved answer for this".

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    After context-assemble in every run.

    line 11
  2. Distinctive:

    No article -> the run becomes a handoff with "no approved answer" recorded (#4.1).

    line 16
  3. Distinctive:

    Every answer sentence must be traceable to an article or policy clause.

    line 20

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “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

Knowledge Retrieve

Purpose

Approved-answer retrieval with citation - the response is grounded or it is a handoff.

When to use

After context-assemble in every run.

Inputs

assembled.json + knowledge base / approved scripts / policy documents.

Steps

  1. Retrieve the article(s) matching intent + context; keep article ids and clauses as citations.
  2. No article -> the run becomes a handoff with "no approved answer" recorded (#4.1).

Output

Payload with approved-answer sources attached.

Grounding requirements

Every answer sentence must be traceable to an article or policy clause.

Constraints

  • Approved sources only; no answers from general knowledge about "how retail usually works".

Escalation / uncertainty

Conflicting articles -> handoff with both cited.

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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.