ralph-claude-code

🥇Gold

Autonomous AI development loop for Claude Code with intelligent exit detection. Enables developers to automate code generation, testing, and deployment. Integrates with Claude Code CLI and development workflows.

6,4274110Updated 1w ago

Intermediate30min to implementautomation

Saves ~480 min per use

Quick InstallView Source

git clone https://github.com/frankbria/ralph-claude-code.git

Works with:

Claude

Overview

About This Skill

https://github.com/frankbria/ralph-claude-code

Use Cases

Automate the iterative development of AI models by continuously refining code based on feedback.

Integrate Ralph into existing projects to manage task imports from GitHub Issues or PRD documents.

Utilize the interactive `ralph-enable` wizard to set up automation in new or existing projects quickly.

Implement rate limiting to control API usage and prevent service interruptions during development cycles.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/frankbria/ralph-claude-code

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I need help with an AI development project for [COMPANY] in the [INDUSTRY] sector. Can you run an autonomous development loop using Claude Code, focusing on [DATA]? Please provide a summary of the current progress and any intelligent exit points identified.

Example Output

### Current Progress Summary
- **Project Title:** AI Chatbot Development
- **Company:** Tech Innovations Inc.
- **Industry:** Customer Service

### Key Developments
- Implemented initial chatbot framework using Claude Code.
- Integrated natural language processing capabilities.
- Conducted initial user testing with positive feedback.

### Intelligent Exit Points Identified
- **Exit Point 1:** Completion of the basic chatbot features.
- **Exit Point 2:** User testing phase has provided actionable insights for improvement.
- **Next Steps:** Focus on refining user experience based on feedback and adding advanced functionalities.