worktrunk

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.

["1. Install Worktrunk by following the instructions in the official documentation. Ensure you have Git installed and configured on your system.","2. Use the Worktrunk CLI to create a new worktree for your feature branch. For example: 'worktrunk create [FEATURE_NAME]'.","3. Set up the necessary dependencies for your feature branch in the new worktree. This can be done manually or automated using a script.","4. Instruct an AI agent like Claude to start working on the feature. Provide the agent with the requirements and any additional context it may need.","5. Monitor the progress of the AI agent and provide feedback as needed. Use the Worktrunk CLI to switch between worktrees and manage your workflows."]