roborev

🥈Silver

Roborev performs continuous, non-invasive background code review for agents, improving efficiency and quality. It supports TUI and CLI interfaces, benefiting developers and operations teams by integrating into existing workflows and tools.

304260Updated 1w ago

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/roborev-dev/roborev.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/roborev-dev/roborev

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

Please analyze the code from [COMPANY] in the [INDUSTRY] sector for potential improvements and optimizations. Use roborev to provide a continuous, non-invasive background review that can help our agents work better and faster. Focus on areas such as code efficiency, readability, and best practices.

Example Output

### Code Review Summary

**Project Name:** Inventory Management System  
**Date:** October 10, 2023  

#### Key Findings:
- **Efficiency:** 
  - The function `calculateInventoryValue()` can be optimized by using a hash map for faster lookups.
- **Readability:** 
  - Consider renaming the variable `x` to `itemCount` for clarity.
- **Best Practices:** 
  - Ensure all functions have appropriate docstrings to improve maintainability.

#### Recommendations:
- Refactor `calculateInventoryValue()` to enhance performance.
- Update variable names for better code readability.
- Add docstrings to all functions before the next release.

By implementing these changes, the codebase will become more efficient and easier to maintain, ultimately improving agent productivity.