code-assistant-manager

🥈Silver

Code Assistant Manager (CAM) lets you manage multiple code assistants like Claude Code, Codex, and Gemini from a single interface. It benefits developers and operations teams by streamlining code generation, review, and debugging workflows. CAM integrates with Python-based tools and workflows, enhancing productivity and reducing context switching.

3590Updated 1w ago

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/Chat2AnyLLM/code-assistant-manager.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/Chat2AnyLLM/code-assistant-manager

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 Code Assistant Manager (CAM) to manage [CODE_ASSISTANT_NAME] for [SPECIFIC_TASK]. Here are the details: [PROJECT_CONTEXT]. Please provide guidance on how to best utilize CAM for this task, including any specific parameters or settings I should configure.

Example Output

# Code Assistant Manager (CAM) Guidance for [SPECIFIC_TASK]

## Recommended Configuration
- **Code Assistant**: [CODE_ASSISTANT_NAME]
- **Task Type**: [SPECIFIC_TASK]
- **Project Context**: [PROJECT_CONTEXT]

## Steps to Utilize CAM Effectively
1. **Initialize CAM**: Start by initializing CAM with the appropriate configuration settings for [CODE_ASSISTANT_NAME]. Ensure that the API keys and endpoints are correctly set up.
2. **Define Task Parameters**: Clearly define the parameters for [SPECIFIC_TASK]. This includes specifying the input data, expected output format, and any constraints or requirements.
3. **Monitor Progress**: Use CAM's monitoring tools to track the progress of the task. This includes checking for errors, monitoring resource usage, and ensuring that the task is completed within the expected timeframe.
4. **Review Output**: Once the task is completed, review the output to ensure that it meets the specified requirements. Use CAM's review tools to identify any issues or areas for improvement.
5. **Optimize Performance**: Based on the review, make any necessary adjustments to the configuration or parameters to optimize performance for future tasks.