agentleFS
ultimatileultimatile/development-skills/skills/reimre/SKILL.md

reimre

Skill0 starsChanged 32 days agoMITView on GitHub

End-to-end wrapper running research-and-implement then review-pipeline on a GitHub issue, carrying it from investigation through the user-controlled merge gate.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    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:

    Do not inline their steps, diagrams, or rule lists — they drift when the sub-skill is updated.

    line 21

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 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

reimre

End-to-end wrapper. Runs research-and-implement then review-pipeline back to back.

Issue: #$ARGUMENTS

Flow

  1. Phase A — invoke research-and-implement $ARGUMENTS. Branch baseline, root baseline, research, and implementation are handled there. Skip /implement's terminal /done-check — Phase B owns the audit.
  2. Phase B — invoke review-pipeline, supplying the root Phase A settled.

Sub-skill internal phases are referenced by name only. Do not inline their steps, diagrams, or rule lists — they drift when the sub-skill is updated.

Stop points

Inherits review-pipeline's stop points unchanged — notably the user-controlled merge gate between Phase 4a and Phase 4b. Do not auto-merge. Plan approval inside /research is also unchanged.

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Does it work?

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

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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.