agent-manager-skill

Running multiple CLI agents in parallel using tmux involves orchestrating execution in separate sessions, assigning tasks, and monitoring logs. This skill coordinates agents in an agents/ directory, handling start, stop, and task assignment for parallel local execution.

Scheduling recurring tasks for local CLI agents with cron is supported natively. This skill enables cron-style timing to automate recurring work across multiple agents, reducing manual overhead for task distribution and execution.

Python and tmux are required dependencies to coordinate local CLI agents. The implementation relies on tmux to manage parallel sessions and Python to handle the task distribution, monitoring, and scheduling logic.

Monitoring logs and output for multiple agents running in tmux is handled by centralizing output logging. This skill orchestrates execution in separate sessions and logs outputs for traceability, allowing you to track agent status and activity.

The best way to manage task distribution across multiple CLI agents is using a dedicated orchestration skill. This approach assigns tasks, monitors status, and schedules work across agents in an agents/ folder, eliminating manual start, stop, and reassignment overhead.

Using tmux sessions for local CLI agent management provides visual traceability and centralized log monitoring. Tmux enables distinct parallel execution environments for agents, ensuring isolated task distribution and centralized output logging.