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Prompts Tmux CLI Agent Manager Skill

agent operations skill risk: low

Tmux CLI Agent Manager Skill

The prompt describes when and how to use an agent-manager-skill to start, stop, monitor, assign tasks to, and schedule multiple local CLI agents running in separate tmux sessions.

  • External action: medium

SKILL 1 file

SKILL.md
---
name: antigravity-awesome-skills-agent-manager-skill-845ed2d9
description: "Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling."
---
# Agent Manager Skill

## When to Use
Use this skill when you need to:

- run multiple local CLI agents in parallel (separate tmux sessions)
- start/stop agents and tail their logs
- assign tasks to agents and monitor output
- schedule recurring agent work (cron)

## Prerequisites

Install `agent-manager-skill` in your workspace:

```bash
git clone https://github.com/fractalmind-ai/agent-manager-skill.git
```

## Common commands

```bash
python3 agent-manager/scripts/main.py doctor
python3 agent-manager/scripts/main.py list
python3 agent-manager/scripts/main.py start EMP_0001
python3 agent-manager/scripts/main.py monitor EMP_0001 --follow
python3 agent-manager/scripts/main.py assign EMP_0002 <<'EOF'
Follow teams/fractalmind-ai-maintenance.md Workflow
EOF
```

## Notes

- Requires `tmux` and `python3`.
- Agents are configured under an `agents/` directory (see the repo for examples).

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

REQUIRED CONTEXT

  • task clearly matching scope of managing CLI agents via tmux

ROLES & RULES

  1. Use this skill only when the task clearly matches the scope described above.
  2. Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  3. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

EXPECTED OUTPUT

Format
markdown
Constraints
  • include when-to-use section
  • list prerequisites and common commands
  • state limitations

EXAMPLES

Includes one installation command and five example CLI invocations for doctor/list/start/monitor/assign.

CAVEATS

Dependencies
  • Requires tmux and python3.
  • Requires git clone of https://github.com/fractalmind-ai/agent-manager-skill.git
  • Agents configured under an agents/ directory.
Missing context
  • Target environment or OS assumptions beyond tmux + python3
  • Error handling or fallback behavior when commands fail

QUALITY

OVERALL
0.74
CLARITY
0.85
SPECIFICITY
0.78
REUSABILITY
0.62
COMPLETENESS
0.72

IMPROVEMENT SUGGESTIONS

  • Add explicit placeholders (e.g., {{agent_id}}) in the command examples to improve reusability as a template.
  • Include a short 'Success criteria' section so users know when the skill has been applied correctly.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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