agent-deck

🥈Silver

Agent Deck is a terminal session manager for AI coding agents. It enables developers to manage multiple AI coding agents in a single terminal session. Built with Go and Bubble Tea, it connects to AI coding assistants like Claude, enhancing productivity and workflow efficiency.

1,987570Updated Today

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/asheshgoplani/agent-deck.git

Works with:

Claude

Overview

About This Skill

https://github.com/asheshgoplani/agent-deck

How to Use

["1. Install Agent Deck on your terminal by following the installation instructions from the official documentation.","2. Launch Agent Deck by typing 'agent-deck' in your terminal.","3. Initialize the desired number of AI coding agents with specific tasks and specifications.","4. Assign each agent to a separate terminal session for better management.","5. Monitor the agents' activities and progress through the Agent Deck interface."]

Use Cases

Fork a session to explore different coding approaches without losing context.

Quickly switch between multiple AI agents to manage tasks across various projects.

Utilize MCP management to automate web searches and browser tasks per project.

Search through all active sessions to find specific tasks or agents instantly.

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/asheshgoplani/agent-deck

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

Launch Agent Deck and initialize [NUMBER] AI coding agents with the following specifications: [AGENT_SPECIFICATIONS]. Assign each agent to a separate terminal session. Ensure all agents are connected to [AI_ASSISTANT_NAME] for code assistance. Monitor their activities and provide a summary of their progress every [TIME_INTERVAL] minutes.

Example Output

Agent Deck has been successfully launched with 3 AI coding agents. Agent 1 is working on the backend API integration using Python. Agent 2 is refactoring the frontend components in React. Agent 3 is optimizing the database queries in SQL. All agents are connected to Claude for code assistance. Progress summary will be provided every 15 minutes.