Does it detect my existing test suites?

Yes, the skill automatically scans for package.json, pytest, tsconfig, and Makefiles to configure the appropriate quality gates for your project.

Can I pause and resume an implementation?

Absolutely. When you run the initialization on an existing project, it provides a 'resume' option to pick up exactly where the last iteration left off.

What files are created in the .ralph directory?

It generates prd.json (task tracking), loop.py (the runner), CLAUDE.md (iteration instructions), progress.txt (logs), and guardrails.md (safety constraints).

How do I start a new implementation loop?

You can trigger the skill by typing '/ralph-loop-init' followed by the path to your plan, or simply use the command 'setup ralph loop'.

What is a Ralph Loop?

A Ralph Loop is an autonomous execution system that runs Claude in a loop to complete multi-step implementation work, validating each step with quality gates before moving to the next.

Ralph Loop Initialization

Name: Ralph Loop Initialization
Author: TechDufus

byTechDufus

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生产力与工作流

Automates the creation of autonomous implementation loops to execute multi-step coding plans with integrated quality gates.

关于

Ralph Loop Init transforms static implementation plans into an executable, autonomous workflow by generating a specialized .ralph infrastructure. It parses implementation steps into machine-readable stories, configures automated quality gates based on your project's tech stack, and provides a Python-based runner for sequential task execution. This skill is perfect for developers looking to move from planning to production by letting Claude handle repetitive implementation iterations while maintaining strict adherence to project standards.

主要功能

Smart quality gate detection for testing and linting frameworks
Generation of a Python-based autonomous loop runner with Rich UI
59 GitHub stars
State management for resuming or overwriting active coding loops
Automatic extraction of implementation stories from Markdown plans
Integrated progress tracking and execution logging

使用场景

Executing multi-step refactoring tasks with automated verification
Implementing complex features from a detailed technical design document
Managing long-running software migrations through sequential, validated iterations

关于

主要功能

Smart quality gate detection for testing and linting frameworks
Generation of a Python-based autonomous loop runner with Rich UI
59 GitHub stars
State management for resuming or overwriting active coding loops
Automatic extraction of implementation stories from Markdown plans
Integrated progress tracking and execution logging

使用场景

Executing multi-step refactoring tasks with automated verification
Implementing complex features from a detailed technical design document
Managing long-running software migrations through sequential, validated iterations