turingmind-code-review

🥈Silver

Automated code review for uncommitted changes using Claude Code. Benefits developers by catching bugs early, improving code quality, and reducing manual review time. Integrates with existing workflows, supporting Shell scripts and intermediate complexity tasks.

2700Updated 1mo ago

Intermediate30min to implementautomation

Saves ~60 min per use

Quick InstallView Source

git clone https://github.com/turingmindai/turingmind-code-review.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/turingmindai/turingmind-code-review

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

Review the following uncommitted code changes for [PROJECT_NAME], a [PROJECT_TYPE] application. Identify potential bugs, security vulnerabilities, and suggest improvements for better performance and readability. Here is the code: [CODE_CHANGES]. Provide a detailed analysis with actionable recommendations.

Example Output

# Code Review for Project 'E-Commerce Checkout System'

## Issues Found
- **Potential SQL Injection**: In `checkout_processor.py`, the SQL query is constructed using string concatenation with user input. This could lead to SQL injection vulnerabilities.
- **Memory Leak**: In `cache_manager.py`, the cache dictionary is never cleared, which could lead to memory leaks over time.
- **Performance Bottleneck**: The `order_processor.py` script processes orders sequentially. Consider implementing parallel processing for better performance.

## Recommendations
- **Security**: Use parameterized queries or ORM to prevent SQL injection.
- **Memory Management**: Implement a cache eviction policy to clear old entries.
- **Performance**: Refactor `order_processor.py` to use multithreading or multiprocessing for concurrent order processing.
- **Code Readability**: Break down long functions into smaller, more manageable ones.