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.
git clone https://github.com/max-sixty/worktrunk.gitWorktrunk 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.
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.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/max-sixty/worktrunkCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
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.
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.
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