This repository collects and showcases high-quality, structured AI prompts and workflows designed to enhance AI collaboration efficiency and reliability in software development, code refactoring, deep thinking, and project management. It targets AI engineers, researchers, and developers seeking to improve AI-assisted coding and problem-solving.

How It Works

The project is divided into two main sections: RIPER-5 and Claude Code. RIPER-5 is a strict behavioral protocol and workflow framework for advanced AI assistants, particularly those integrated into IDEs. It enforces a mandatory, staged process to ensure AI actions are safe, controllable, and predictable during complex coding tasks. Claude Code offers a collection of prompts and workflows optimized for Claude models, aiming to boost developer productivity in programming.

Quick Start & Requirements

• To use the prompts, copy the content from the prompt.md file within a specific workflow directory and apply it as a system prompt, custom instruction, or directly in a conversation with your AI assistant.
• No specific software installation is required beyond access to a compatible AI model (e.g., Claude).

Highlighted Details

• RIPER-5: A behavioral protocol framework for AI coding assistants.
• Claude Code: Optimized prompts for Claude models across various development scenarios.
• Includes workflows for requirements gathering, code refactoring (e.g., Linus Torvalds style), AI behavior control, structured Git commits, and multi-agent deep thinking.
• Promotes a "Commit-as-Prompt" philosophy for structured Git commit messages.

Maintenance & Community

• Contributions are welcomed via Pull Requests or Issues for new workflows, prompt improvements, or suggestions.

Licensing & Compatibility

• The project is licensed under the MIT License, permitting commercial use and integration with closed-source projects.

Limitations & Caveats

The effectiveness of the prompts is dependent on the specific AI model used and may require adjustments for optimal performance. Some workflows are based on community discussions and may not have undergone extensive formal testing.