kanban-worker

You can automate task acquisition from a Kanban board by using a worker agent that pulls tasks by their ID and manages the task lifecycle automatically. It acquires tasks, sends progress heartbeats, and tracks completion without manual intervention.

Yes, you need Python and SQLite installed to manage task progress reporting on a Kanban board. These dependencies are required to run the scripts that handle task acquisition, heartbeats, and completion tracking.

The best way to track task completion for automated coding workflows is to use a system that reports completion with results and summaries directly to your Kanban board. This ensures all processed tasks are logged efficiently.

Yes, you can integrate task lifecycle management with existing software development workflows. The skill is specifically designed to fit into development cycles, handling everything from initial task acquisition to final completion reporting.

If your automated worker agent stops sending progress updates during task execution, verify your SQLite database connection and Python environment. The agent relies on these dependencies to consistently send heartbeats and track task progress.

Using SQLite for tracking Kanban task lifecycles may present scalability limitations for large development teams due to its single-writer concurrency model. It is best suited for localized worker agents rather than high-concurrency environments.