claude-code-supervisor

🥈Silver

Auto-review and iterate on code tasks until quality work is delivered. Switch between multiple Claude Code providers (Kimi, GLM, MiniMax, etc.) with a single command. Ideal for developers and operations teams managing AI code generation workflows.

4320Updated Today

Intermediate30min to implementautomation

Saves ~60 min per use

Quick InstallView Source

git clone https://github.com/guyskk/claude-code-supervisor.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/guyskk/claude-code-supervisor

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

Act as a code supervisor. Review the following code for [COMPANY] in the [INDUSTRY] sector. Provide detailed feedback on functionality, efficiency, and best practices. If the code needs improvement, suggest specific changes. Then, rewrite the improved version. Use [PROGRAMMING_LANGUAGE] and [DATA] as needed. Switch to [AI_PROVIDER] for the rewrite if necessary.

Example Output

# Code Review for [COMPANY] in the [INDUSTRY] Sector

## Original Code Analysis
```python
[ORIGINAL_CODE]
```

### Issues Identified:
- **Performance Bottleneck**: The nested loop structure in `function_x` can be optimized for better efficiency.
- **Security Concern**: Input validation is missing in `function_y`, which could lead to potential injection vulnerabilities.
- **Best Practice Violation**: The use of global variables in `function_z` is not recommended for maintainability.

## Suggested Improvements
```python
[IMPROVED_CODE]
```

### Key Changes Made:
- **Optimized Loops**: Replaced nested loops with a more efficient algorithm in `function_x`.
- **Added Input Validation**: Implemented robust input validation in `function_y`.
- **Removed Global Variables**: Refactored `function_z` to use local variables and dependency injection.

## Additional Recommendations
- Consider adding unit tests to ensure the reliability of the code.
- Document the functions to improve code readability and maintainability.