worktrunk

🥈Silver

Worktrunk is a CLI tool for managing Git worktrees, enabling parallel AI agent workflows. Developers and operations teams use it to streamline codebase management, reducing context switching and improving efficiency. It integrates with Git and supports AI agents like Claude for automated workflows.

1,835560Updated 1w ago

Intermediate30min to implementautomation

Saves ~60 min per use

Quick InstallView Source

git clone https://github.com/max-sixty/worktrunk.git

Works with:

Claude

Overview

About This Skill

Worktrunk is a command-line interface (CLI) designed specifically for managing Git worktrees, enabling developers to effectively handle parallel workflows in AI agent development. This skill allows users to create and manage multiple Git worktrees, facilitating simultaneous feature development without the clutter of a single working directory. With Worktrunk, developers can automate local setup and configuration for each worktree using hooks, ensuring a streamlined process that enhances productivity. One of the key benefits of using Worktrunk is the potential for significant time savings in managing Git repositories. By automating tasks such as generating commit messages based on code changes through LLM integration, developers can focus on writing code rather than managing the intricacies of version control. The ability to easily switch between worktrees and execute commands for different AI agents further optimizes workflow automation, allowing teams to maintain a tidy repository while speeding up the development process. This skill is particularly beneficial for developers, product managers, and AI practitioners who are engaged in parallel development projects. Those working in environments that require frequent feature updates or experimentation will find Worktrunk invaluable for maintaining organization and efficiency. The practical use cases include creating and managing multiple worktrees for different features, automating local setups, and cleaning up worktrees post-merge to keep repositories manageable. With an intermediate implementation difficulty, Worktrunk can typically be set up in about 30 minutes, making it accessible for teams looking to enhance their Git workflows. While the complexity is rated as intermediate, the skill is designed to fit seamlessly into AI-first workflows, where managing multiple AI agents and their respective codebases is crucial. By integrating Worktrunk into your development process, you can ensure that your team is equipped to handle the demands of modern software development efficiently.

Use Cases

Create and manage multiple Git worktrees for parallel feature development.

Automate local setup and configuration for each worktree using hooks.

Generate commit messages automatically based on code changes with LLM integration.

Easily switch between worktrees and run commands for different AI agents.

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/max-sixty/worktrunk

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

Manage your Git worktrees using Worktrunk. Create a new worktree for [BRANCH_NAME] from [BASE_BRANCH]. Ensure that the worktree is set up for [SPECIFIC_TASK] and provide a summary of the changes needed for this task.

Example Output

Creating a new worktree for the feature branch 'user-authentication' from 'main'. The worktree has been successfully set up in the directory 'user-authentication-worktree'. To implement the user authentication feature, the following changes are needed: 1. Add a new login form in the 'src/components/LoginForm.js' file. 2. Update the authentication API endpoint in 'src/services/authService.js' to handle user credentials. 3. Write unit tests for the new components in 'src/tests/LoginForm.test.js'. Please ensure to commit your changes to the 'user-authentication' branch once complete.