setup-ralph

Set up a RALPH plan/build loop with Docker and generated prompt files.

Updated Feb 7, 2026
One-click install
npx skills add https://github.com/benwilkes9/claude-code-stuff --skill setup-ralph-benwilkes9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: setup-ralph
Source: https://github.com/benwilkes9/claude-code-stuff/tree/main/skills/setup-ralph
Command: npx skills add https://github.com/benwilkes9/claude-code-stuff --skill setup-ralph-benwilkes9

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the setup of an autonomous plan/build loop (RALPH) within a repository, streamlining project development and iteration.

Core Features & Use Cases

  • Autonomous Loop Setup: Generates all necessary files for an AI-driven plan/build cycle.
  • Dockerized Environment: Ensures isolation and security by running the loop exclusively in Docker.
  • Project Structure Analysis: Intelligently detects and adapts to your project's specific layout and tooling.
  • Use Case: You want to set up an AI agent to continuously improve your codebase. Use this Skill to generate the AGENTS.md, PROMPT_plan.md, PROMPT_build.md, and Docker configuration files needed to start the autonomous loop.

Quick Start

Use the setup-ralph skill to set up the RALPH autonomous loop for this project.

Frequently Asked Questions about setup-ralph

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

FAQPage Schema
How do I set up an autonomous AI development loop in my repository?

You can set up an autonomous AI development loop by generating the required AGENTS.md, PROMPT_plan.md, PROMPT_build.md, and Docker configuration files, which adapt to your detected project structure and tooling to orchestrate iterations.

How does Docker isolation work for AI-driven code generation loops?

Docker isolation for AI-driven code generation loops works by running the plan/build cycle exclusively inside a Docker container via a shell script, ensuring a secure and isolated environment for automated development iterations.

Can I use an autonomous AI build loop with my existing project structure?

Yes, the autonomous AI build loop intelligently detects and adapts to your specific project layout and tooling, generating the necessary configuration files to integrate seamlessly with your existing repository structure.

What files do I need to start an autonomous plan and build cycle?

To start an autonomous plan and build cycle, you need to generate AGENTS.md, PROMPT_plan.md, PROMPT_build.md, and Docker files, which collectively orchestrate the AI-driven development iterations.

Do I need Docker to run an AI agent development loop?

Yes, Docker is required to run this AI agent development loop, as it ensures isolation and security by running the entire autonomous plan and build cycle exclusively within a Dockerized environment.

What is the best way to automate codebase improvements with AI?

The best way to automate codebase improvements is to establish an autonomous plan/build loop that uses AI agents to continuously iterate, generating necessary prompt and Docker configuration files to orchestrate the development cycle.