ralph-loop-setup

Create Ralph loop files with acceptance criteria and validation commands.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/petrogurcak/skills --skill ralph-loop-setup-petrogurcak
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralph-loop-setup
Source: https://github.com/petrogurcak/skills/tree/main/plugins/development/skills/ralph-loop-setup
Command: npx skills add https://github.com/petrogurcak/skills --skill ralph-loop-setup-petrogurcak

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the setup of Ralph, an autonomous AI coding loop, ensuring all necessary files and structures are correctly configured to enable unattended code implementation and execution.

Core Features & Use Cases

  • Automated Setup: Creates the required prd.json, prompt.md, progress.txt, and ralph.sh files for Ralph.
  • Enforces Best Practices: Mandates acceptance criteria, specific validation commands, and a Codebase Patterns section to prevent common agent rationalizations and ensure robust execution.
  • Use Case: When you have multiple small, well-defined implementation tasks that can be executed overnight, use this skill to set up Ralph for autonomous development and deployment.

Quick Start

Use the ralph-loop-setup skill to create the necessary files for an autonomous coding loop.

Frequently Asked Questions about ralph-loop-setup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up an autonomous AI coding loop for overnight development tasks?

To set up an autonomous AI coding loop, you need to create mandatory configuration files including prd.json, prompt.md, progress.txt, and ralph.sh. This enforces strict validation commands and acceptance criteria for unattended code implementation.

What is autonomous coding and how does it handle unattended code implementation?

Autonomous coding uses an AI loop to execute well-defined development tasks without manual intervention. It requires a structured prompt, clear acceptance criteria, and specific validation commands to prevent agent rationalizations during execution.

How do I configure TDD workflows and acceptance criteria for an autonomous AI agent?

Configuring TDD workflows for an AI agent requires defining specific validation commands and strict acceptance criteria in a prd.json file. This setup ensures the autonomous loop validates code against requirements during execution.

Does setting up an autonomous AI loop require a Codebase Patterns section?

Yes, setting up an autonomous AI loop requires a Codebase Patterns section. This mandatory structure enforces best practices and prevents common agent rationalizations, ensuring robust and unattended code implementation.

When should I use an autonomous coding loop instead of manual development?

Use an autonomous coding loop when you have multiple small, well-defined implementation tasks that can be executed overnight. It automates development and deployment by generating and validating code without manual intervention.

Why does my AI agent rationalize code implementation instead of following requirements?

AI agents rationalize code implementation when mandatory structures like strict acceptance criteria, specific validation commands, and Codebase Patterns sections are not enforced. Proper loop setup prevents this by ensuring robust execution.