agent-management

Manage AI agent lifecycles with CLI commands for creation, hibernation, and plugins.

Updated Nov 29, 2025
One-click install
npx skills add https://github.com/thimslugga/agent-skills --skill agent-management-thimslugga
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-management
Source: https://github.com/thimslugga/agent-skills/tree/main/skills/ai-maestro/agent-management
Command: npx skills add https://github.com/thimslugga/agent-skills --skill agent-management-thimslugga

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Managing AI agents across their full lifecycle—from creation and configuration to decommission—requires multiple tools and manual coordination. This skill provides a single, cohesive CLI to orchestrate agents reliably.

Core Features & Use Cases

  • Agent Lifecycle: create, list, show, update, delete, rename, hibernate, wake, and restart agents.
  • Plugin & Export/Import: install plugins, manage marketplaces, and export or import agent configurations.
  • Use Case: Onboarding a team to manage dozens of agents across projects with consistent setups and quick recovery.

Quick Start

Ask the AI to create a new agent named backend-api with a dedicated directory and a defined task.

Frequently Asked Questions about agent-management

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage AI agent lifecycles from a single command line?

You can manage AI agent lifecycles from a single command line by using a CLI workflow to spawn, monitor, hibernate, wake, and delete agents across multiple projects. This provides a cohesive orchestration method without needing multiple tools.

Can I hibernate and wake AI agents to save resources during idle periods?

Yes, you can hibernate and wake AI agents to save resources during idle periods using dedicated CLI commands. This lifecycle management capability allows you to suspend agent processes and quickly restart them when needed.

How do I set up and onboard a team to manage dozens of AI agents across projects?

To onboard a team to manage dozens of AI agents, you can use the CLI to create new agents with dedicated directories and defined tasks. This ensures consistent setups and quick recovery across all team projects.

What is the best way to install plugins and manage configurations for multiple AI agents?

The best way to install plugins and manage configurations for multiple AI agents is through a centralized CLI that supports plugin installation, marketplace management, and configuration export or import for reliable agent orchestration.

Do I need any external dependencies to orchestrate AI agents with this workflow?

No external dependencies are required to orchestrate AI agents with this workflow. The CLI operates independently to coordinate agent lifecycles, manage plugins, and handle configuration exports without additional tools.

Can I export agent configurations and import them to replicate setups across different projects?

Yes, you can export agent configurations and import them to replicate setups across different projects. The CLI includes dedicated export and import commands to ensure consistent agent configuration and quick onboarding.