ralph-loop

Automate iterative prompt loops until a completion promise or max-iterations limit.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/The-Rabak/naysmith --skill ralph-loop-the-rabak
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralph-loop
Source: https://github.com/The-Rabak/naysmith/tree/main/.github/skills/ralph-loop
Command: npx skills add https://github.com/The-Rabak/naysmith --skill ralph-loop-the-rabak

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables an autonomous, self-referential prompt loop that repeats prompts back into the model until a completion promise is produced, reducing manual prompting effort.

Core Features & Use Cases

  • Self-referential looping: automatically feeds the output back as input with a stop hook to prevent premature exit.
  • Controlled termination: completes when a specified completion promise is emitted or a max-iterations limit is reached.
  • Use Case: complex reasoning tasks such as multi-hop prompts, iterative code generation, or structured planning.

Quick Start

Run the Ralph Loop with your initial prompt and a max-iterations limit, stopping when a completion promise is produced.

Frequently Asked Questions about ralph-loop

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

FAQPage Schema
How do I automate an AI prompt loop until a specific condition is met?

You automate a prompt loop by feeding the model's output back as input iteratively until a completion promise is emitted or a maximum iteration limit is reached, ensuring controlled termination.

What is a self-referential prompt loop for iterative code generation?

A self-referential prompt loop is an autonomous system that re-feeds prompts back into the AI model to iteratively refine multi-turn reasoning, code generation, or structured planning without manual prompting effort.

How do I prevent an autonomous AI prompt loop from running indefinitely?

You prevent infinite loops by enforcing a stop-hook mechanism with a user-specified max-iterations bound, which halts the process if the completion promise is not produced in time.

When do I need an iterative prompt loop for multi-turn reasoning tasks?

You need an iterative prompt loop for complex reasoning tasks like multi-hop prompts or structured planning that require autonomous, multi-turn refinement to reach a final completion promise.

Can I use an autonomous prompt loop for structured planning scenarios?

Yes, you can use an autonomous prompt loop for structured planning scenarios by setting an initial prompt input and a max-iterations limit to automatically refine the model's reasoning until completion.

What are the limitations of using a max-iterations bound in a prompt loop?

The max-iterations limitation halts the prompt loop regardless of output quality if the completion promise is not emitted in time, potentially terminating multi-turn reasoning before reaching an optimal result.