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Official Verified developer tools Safety 3/5

ralph-loop

AI 자율 구현 방법론. 구현/개발/코딩 요청 시 자동 적용. 메인은 마더 서브에이전트를 spawn하고, 마더가 워커들을 관리. specs/ → IMPLEMENTATION_PLAN.md → 1태스크씩 구현 → 2단계 리뷰 → 테스트 → 반복.

Why use this skill?

Optimize your coding workflow with Ralph Loop, an autonomous multi-agent system for OpenClaw that enforces strict specifications, quality reviews, and iterative development.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/kjaylee/kj-ralph-loop
Or

What This Skill Does

Ralph Loop is an autonomous development methodology implemented as an agentic skill for the OpenClaw ecosystem. It is designed to transform complex development requests into a systematic, multi-tiered execution flow. By leveraging a hierarchy of agents—Main (Coordinator), Mother (Orchestrator), and Worker (Executor)—Ralph Loop enforces rigorous quality control, strict task decomposition, and verifiable output. Unlike standard coding agents, Ralph Loop mandates a two-stage review process, requires evidence-based verification before marking tasks as complete, and enforces YAGNI (You Ain't Gonna Need It) to prevent scope creep. It specifically excels in rapid development by prioritizing small, 2-5 minute task cycles that keep the agent state consistent and manageable.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/kjaylee/kj-ralph-loop Ensure your agent has the necessary permissions to spawn sub-processes and manage file systems within your workspace to allow the 'Mother' agent to create and manage the specs/ directory and IMPLEMENTATION_PLAN.md file.

Use Cases

  • Rapid prototyping of single-file HTML/JS applications and tools.
  • Complex feature implementation that requires breaking down ambiguous requirements into actionable technical specifications.
  • Refactoring or adding functionality to existing codebases where strict adherence to technical requirements is prioritized over experimental coding.
  • Large-scale development tasks requiring automated 2-tier reviews (specification compliance check followed by code quality check).

Example Prompts

  1. "Implement a dashboard that fetches weather data from an API and displays it in a responsive chart using Ralph Loop."
  2. "Refactor the authentication module in our codebase. Create specs first and ensure you follow the 3-rule for debugging if errors persist."
  3. "Build a markdown-to-html converter tool using the Ralph Loop methodology; focus on modular components and verify each block before moving to the next."

Tips & Limitations

  • Tip: Keep your initial request clear. The 'Mother' agent will perform better if you define the core objective precisely.
  • Tip: Trust the 3-rule. If a worker fails three times, do not force it to continue; let the 'Mother' agent re-evaluate the architecture.
  • Limitation: This skill is optimized for development and coding tasks. It is not intended for non-technical research or long-form creative writing.
  • Limitation: Avoid using this for massive, multi-repository enterprise refactoring; it is architected for single-environment consistency rather than distributed system coordination.

Metadata

Author@kjaylee
Stars1776
Views0
Updated2026-03-02
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-kjaylee-kj-ralph-loop": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#autonomous-development#coding#agentic-workflow#software-engineering
Safety Score: 3/5

Flags: file-write, file-read, code-execution

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