commander

Commander is an advanced AI automation skill designed to serve as a central hub for managing your AI coding command-line interface (CLI) agents. This skill allows developers to streamline their coding processes by providing a structured environment for executing commands and managing various AI tasks. With Commander, you can easily orchestrate multiple AI agents, making it an essential tool for those looking to enhance their coding efficiency and productivity. One of the key benefits of using Commander is its ability to significantly reduce the time spent on managing AI agents. Although the exact time savings are not quantified, the skill's intermediate complexity suggests that users can expect a smoother workflow, enabling them to focus on more critical development tasks. This is particularly beneficial for developers and product managers who need to oversee multiple projects simultaneously, as Commander allows for better organization and control over coding activities. Commander is particularly suited for developers and AI practitioners who are comfortable with CLI environments and are looking for ways to optimize their coding workflows. It can also be beneficial for product managers who need to coordinate between various AI projects and ensure that their teams are operating efficiently. By integrating Commander into your workflow, you can enhance collaboration and streamline project management, making it a valuable addition to any AI-first team. Implementing Commander requires an intermediate level of coding knowledge, and it can be set up in approximately 30 minutes. This skill fits seamlessly into AI-first workflows by enabling developers to manage their AI agents with ease, ensuring that they can focus on delivering high-quality software solutions. As AI automation continues to evolve, tools like Commander will play a crucial role in helping teams adapt and thrive in a rapidly changing technological landscape.

["1. **Define the Task & Tools**: Replace [TASK], [TOOL1], [ACTION1], etc., in the prompt template with your specific workflow. Use CLI-based AI tools (e.g., GitHub CLI, Docker CLI, VS Code CLI) for automation. Example: `[TASK] = 'Deploy customer portal to staging'`, `[TOOL1] = 'GitHub CLI'`, `[ACTION1] = 'clone the repo'`.","2. **Integrate Sortd**: Ensure Sortd is installed in your Gmail and connected to your team’s kanban board (e.g., 'DevOps Pipeline' or 'Customer Portal Deployment'). Use the board name in the prompt template.","3. **Execute Sequentially**: Paste the customized prompt into your AI assistant (e.g., Claude/ChatGPT) and execute each tool in the specified order. Monitor progress in Sortd’s kanban board.","4. **Real-time Updates**: Use Sortd’s API or manual updates to reflect tool progress (e.g., moving cards between 'To Do', 'In Progress', and 'Done'). Add comments for detailed logs.","5. **Error Handling**: If a tool fails, pause the pipeline, log the error in Sortd, and suggest rollback steps (e.g., revert to last stable commit). Use the Commander to coordinate recovery actions."]