Manage local CLI AI agents via tmux — start, stop, monitor, assign tasks, and schedule with cron.
What it does
Running multiple Claude Code instances requires knowing how to manage persistent sessions in tmux, assign tasks without losing track of which agent is doing what, monitor progress without constantly switching panes, and schedule work with cron. Without this skill, multi-agent coordination is manual and fragile. This skill loads the complete workflow for managing local CLI agents via tmux: session naming conventions, task assignment patterns, progress monitoring commands, and cron integration for scheduled work.
Use case
Running multiple Claude Code agents in parallel on a machine — parallelising a long task across multiple instances, running background research while doing foreground development, or scheduling autonomous work to run on a timer. Made by fractalmind-ai.
"Start three agents working on different parts of this refactor in parallel." "Show me the status of all running agents and what each is doing." "Assign this research task to a background agent while I continue with the main task." "Set up a cron job that runs a Claude agent every night to update the documentation." "One of my agents is stuck — help me diagnose and reassign its task."
Make sure tmux is installed. Claude manages all session creation and naming.
Describe the tasks you want to parallelise. Claude splits them into appropriate agent assignments.
For monitoring: Claude generates the tmux commands to check each agent's progress without switching focus.
Input
A task or set of tasks to distribute across multiple agents, and any scheduling or monitoring requirements.
Output
A multi-agent setup: named tmux sessions, task assignments per agent, monitoring commands, and optionally cron entries for scheduled work.
npx skillsadd fractalmind-ai/skills/agent-manager
Requires skills.sh CLI
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