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digitalgymdigitalgym/aipathway-standards/skills/review-request/SKILL.md

review-request

Skill0 starsChanged 9 days agoLicence not identifiedView on GitHub

Open specification for asking every customer for a Google review after the job: the ask triggered by the job marked complete in the job system, timed after a short wait, the same message and the same review link for every customer whatever they might say, one reminder and then stop, a job with an open callback or a disputed invoice held as not finished yet rather than filtered, a low score sent to the owner to call without taking the link away, no ask to anyone who opted out, and every ask, reminder and reply logged by job. Free to implement, with a conformance checklist and a runnable stub. Use when building, reviewing or auditing this workflow. Carries the AIP-BS-REVIEW-REQUEST open standard, free to implement under CC BY 4.0.

4 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

The licence could not be identified — 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.