What happens if a Ralph Loop is already running?

Auto-Ralph includes a 'Phase 0' safety check. If it detects an active loop file, it will stop and provide options to cancel the existing loop or wait for completion to prevent state corruption.

Does Auto-Ralph support multiple languages?

Yes, it accepts inputs in English, Romanian, and Russian (or mixed), though it provides all status outputs and generated prompts in Romanian.

How does Auto-Ralph decide when to activate?

It uses a 4-point scoring system evaluating task clarity, iteration benefit, defined scope, and verifiability. It proactively offers Ralph mode for any task scoring 3 or higher.

Can I prevent Auto-Ralph from starting a loop?

Yes. You can use explicit triggers like 'just answer' or 'don't loop' to override the scoring, and there is always a mandatory confirmation step before any loop begins.

Auto-Ralph

Name: Auto-Ralph
Author: nalyk

bynalyk

生产力与工作流

Proactively detects and automates iterative coding tasks like bug fixes and feature implementations using a specialized scoring system.

关于

Auto-Ralph is a high-performance automation skill for Claude Code designed to streamline complex development workflows. It automatically evaluates user requests—such as bug fixes, refactoring, or feature additions—using a proprietary scoring system to determine if they benefit from iterative execution. When a suitable task is detected, the skill performs deep context analysis across Git status, Docker environments, and test frameworks to generate optimized prompts for the Ralph Loop. This ensures high-quality, verifiable results while maintaining safety through mandatory user confirmation, iteration capping, and state-corruption prevention.

主要功能

Deep context analysis including Git status, Docker logs, and framework detection
Multilingual keyword detection supporting English, Romanian, and Russian inputs
Automated 'Explore Agent' phase for architectural mapping of large refactors
Safety-first execution with iteration limits and recursive loop prevention
Intelligent task scoring (0-4) based on success criteria, scope, and verifiability
0 GitHub stars

使用场景

Automating repetitive bug-fixing cycles that require multiple test-and-repair iterations
Implementing new features in unfamiliar codebases using the pre-analysis Explore phase
Refactoring large modules while maintaining state transparency and verifiable completion

关于

主要功能

Deep context analysis including Git status, Docker logs, and framework detection
Multilingual keyword detection supporting English, Romanian, and Russian inputs
Automated 'Explore Agent' phase for architectural mapping of large refactors
Safety-first execution with iteration limits and recursive loop prevention
Intelligent task scoring (0-4) based on success criteria, scope, and verifiability
0 GitHub stars

使用场景

Automating repetitive bug-fixing cycles that require multiple test-and-repair iterations
Implementing new features in unfamiliar codebases using the pre-analysis Explore phase
Refactoring large modules while maintaining state transparency and verifiable completion