360 Secure SkillHub
360 安全技能中心

ralph-loop-help

该 Skill 面向用户关于 Ralph Loop 的提问,说明其基于重复投喂同一提示、由停止钩子拦截退出的迭代开发机制,并介绍启动选项、取消方式、完成承诺标记以及适用与不适用场景。输出为整理后的说明文本。

cursor
热度 0.00
最近更新 2026-10-18 16:52:36
分类:知识依赖:纯提示词应用场景:概念解释

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add cursor/plugins/ralph-loop-help
Metadata
name
ralph-loop-help
description
Explain the Ralph Loop plugin, how it works, and available skills. Use when the user asks for help with ralph loop, wants to understand the technique, or needs usage examples.

Ralph Loop Help

Trigger

The user asks what Ralph Loop is, how it works, or needs usage guidance.

What to Explain

What is Ralph Loop?

Ralph Loop implements the Ralph Wiggum technique — an iterative development methodology based on continuous AI loops, pioneered by Geoffrey Huntley.

Core concept: the same prompt is fed to the agent repeatedly. The "self-referential" aspect comes from the agent seeing its own previous work in the files and git history, not from feeding output back as input.

Each iteration:

  1. The agent receives the SAME prompt
  2. Works on the task, modifying files
  3. Tries to exit
  4. Stop hook intercepts and feeds the same prompt again
  5. The agent sees its previous work in the files
  6. Iteratively improves until completion

Starting a Ralph Loop

Tell the agent your task along with options:

Start a ralph loop: "Build a REST API for todos" --max-iterations 20 --completion-promise "COMPLETE"

Options:

  • --max-iterations N — max iterations before auto-stop
  • --completion-promise "TEXT" — phrase to signal completion

How it works:

  1. Creates .cursor/ralph/scratchpad.md state file
  2. Agent works on the task
  3. Stop hook intercepts exit and feeds the same prompt back
  4. Agent sees its previous work and iterates
  5. Continues until promise detected or max iterations reached

Cancelling a Ralph Loop

Ask the agent to cancel the ralph loop. It will remove the state file and report the iteration count.

Completion Promises

To signal completion, the agent outputs a <promise> tag:

<promise>TASK COMPLETE</promise>

The stop hook looks for this specific tag. Without it (or --max-iterations), Ralph runs indefinitely.

When to Use Ralph

Good for:

  • Well-defined tasks with clear success criteria
  • Tasks requiring iteration and refinement
  • Iterative development with self-correction
  • Greenfield projects

Not good for:

  • Tasks requiring human judgment or design decisions
  • One-shot operations
  • Tasks with unclear success criteria

Learn More

Output

Present the above information clearly to the user, tailored to their specific question.