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
- 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.
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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