Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
Install with Tessl CLI
npx tessl i github:duclm1x1/Dive-Ai --skill agent-manager-skill79
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Agent manager setup and health verification
Correct clone URL
0%
100%
Correct script entry point
0%
100%
Doctor command used
0%
100%
tmux prerequisite mentioned
0%
100%
python3 prerequisite mentioned
0%
100%
agents/ directory documented
100%
100%
setup.sh is executable shell script
100%
100%
setup-guide.md exists
100%
100%
Without context: $0.5681 · 1m 38s · 30 turns · 208 in / 5,285 out tokens
With context: $0.2516 · 57s · 16 turns · 22 in / 3,220 out tokens
Listing and launching multiple agents
Correct script path
0%
100%
list command used
0%
100%
start EMP_0001 command
0%
100%
start EMP_0002 command
0%
100%
start EMP_0003 command
0%
100%
Agent ID format
100%
100%
startup.sh is a shell script
100%
100%
runbook.md exists
100%
100%
list precedes start
0%
100%
Without context: $0.2535 · 1m 1s · 18 turns · 57 in / 3,459 out tokens
With context: $0.2928 · 1m 1s · 18 turns · 178 in / 3,326 out tokens
Task assignment and agent monitoring
Correct script path in assign
0%
100%
assign targets EMP_0002
100%
100%
Heredoc syntax used
100%
100%
Multi-line task content in heredoc
100%
100%
monitor subcommand used
0%
100%
--follow flag on monitor
0%
100%
assign before monitor
50%
100%
delegate.sh is a shell script
100%
100%
delegation-notes.md exists
100%
100%
Without context: $0.4148 · 1m 42s · 23 turns · 159 in / 5,098 out tokens
With context: $0.1996 · 46s · 15 turns · 50 in / 2,205 out tokens
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.