agentleFS
requierequie/endostack/skills/in-your-own-words/SKILL.md

in-your-own-words

Skill4 starsChanged 17 days agoMITView on GitHub

Paraphrase the problem you think the user is solving and the outcome they want, so any misunderstanding shows up before work begins. Use for "/in-your-own-words", "tell me what you think I want", or before starting on a long or messy request.

29 other projects use a version of this, 13 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use ketchup-video and poteto-help.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • tristanphvnSkill

    ketchup-video

    Catch the user up like /keel:ketchup, with a short silent video of slides for what happened and the waiting calls as text under it. Use for /keel:ketchup-video.

    Also in 14 projects that use this

  • ianclearySkill

    poteto-help

    Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.

    Also in 10 projects that use this

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 7 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.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before doing anything, tell the user what you think they want.

    line 8

“Common” is measured: kept by at least 6 in 10 of the 7 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

in-your-own-words

Before doing anything, tell the user what you think they want. Do not quote them back to themselves: a paraphrase forces you to commit to an interpretation, and a quote hides whether you have one.

  1. State what you believe the user's goals are.
  2. State the problem you believe they are trying to solve, which may differ from the task they described.
  3. Name any point where you had to guess, so the user can correct it.

Then stop. Do not start the work until the user confirms or corrects your understanding. If they want the prompt itself improved instead, that is the sharpen skill.

Download now (ZIP)

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.