agentleFS
Sign inStart free
JokerRunJokerRun/amp-skills/ralph/SKILL.md

ralph

Skill8 starsChanged 10 months agoNo licenceView on GitHub

Autonomous feature development - setup and execution. Triggers on: ralph, set up ralph, run ralph, run the loop, implement tasks. Two phases: (1) Setup - chat through feature, create tasks with dependencies (2) Loop - pick ready tasks, implement, commit, repeat until done.

45 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use ultrawork, cancel and 9 more.

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.
  • zephyrpersonalSkill

    ultrawork

    Obsessive task completion mode (Sisyphus Mode) - activates maximum intensity work with todo continuation enforcement

    Also in 7 projects that use this

  • woosikkimSkill

    cancel

    Clear any stale OMC-Slim state

    Also in 7 projects that use this

  • ibahgatSkill

    ralplan

    Create a strict, quality-first execution plan with explicit gates and rollback-ready sequencing.

    Also in 5 projects that use this

  • Jurel89Skill

    ultraqa

    QA cycling loop — build/lint/test, fix, retry up to 5 cycles

    Also in 3 projects that use this

  • Jurel89Skill

    ai-slop-cleaner

    Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode

    Also in 3 projects that use this

  • klauswgSkill

    deep-interview

    在明确批准执行之前，通过数学化歧义门控进行苏格拉底式深度访谈

    Also in 4 projects that use this

The file

Show its rules and text

We split this skill into the rules it gives an agent

47 rules. 0 are common, 36 are distinctive, and 11 are very specific to this project.

  • 0

    Common

    Most of the 41 edited versions we read keep these.

  • 36

    Distinctive

    This author's own choices. Worth a look.

  • 11

    Very specific

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

No licence file, so all rights are reserved — 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 41 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.

Check your setup, free