medusa

🥈Silver

Medusa is a desktop app that serves as a control center for AI-powered development with Claude Code. It allows users to review plans before execution and run parallel agents. Developers and operations teams benefit from streamlined workflows and improved efficiency in managing AI agents.

1300Updated Today

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/benodiwal/medusa.git

Works with:

Claude

Overview

About This Skill

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/benodiwal/medusa

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'm using Medusa to [TASK] for [COMPANY]. Here's my plan: [PLAN]. Can you review it and suggest improvements before I execute it with parallel agents?

Example Output

# Plan Review and Optimization for [COMPANY] 

## Current Plan 
- [ ] Task 1: Data Collection 
- [ ] Task 2: Data Cleaning 
- [ ] Task 3: Model Training 
- [ ] Task 4: Model Evaluation 

## Suggested Improvements 
1. **Parallelize Data Collection and Cleaning**: These tasks can run concurrently to save time. 
2. **Add Validation Step**: Include a data validation step after cleaning to ensure quality. 
3. **Automate Model Evaluation**: Use predefined metrics and thresholds for initial evaluation. 
4. **Add Monitoring**: Implement real-time monitoring for the training process. 

## Revised Plan 
- [ ] Task 1: Data Collection (Parallel) 
- [ ] Task 2: Data Cleaning (Parallel) 
- [ ] Task 3: Data Validation 
- [ ] Task 4: Model Training (with Monitoring) 
- [ ] Task 5: Automated Model Evaluation 

Would you like to proceed with this revised plan?