
AI Maestro Agent Management
FreeEfficiently manage AI agents through a unified CLI.
Free · Opens the source repo
What AI Maestro Agent Management does
AI Maestro Agent Management provides a command-line interface (CLI) for creating, managing, and orchestrating multiple AI agents. It streamlines the entire agent lifecycle, allowing users to create, hibernate, wake, rename, and manage plugins for their agents. This skill is designed for developers and designers who need to handle AI agents efficiently, whether for testing, development, or deployment purposes.
The CLI supports a variety of commands that facilitate agent management. Users can easily list all agents and their statuses, create new agents with specific tasks and tags, and perform updates or deletions as needed. The ability to hibernate agents helps save system resources when they are not in use, and waking them up is straightforward, allowing for quick resumption of work. Additionally, the skill includes commands for exporting and importing agent configurations, making it easier to back up or migrate agent setups.
For those looking to extend the functionality of their agents, the plugin management commands allow for easy installation and uninstallation of plugins. Users can also manage plugin sources through a marketplace, providing flexibility in how agents can be enhanced. This skill is particularly useful in environments where multiple AI agents are in operation and need to be managed cohesively.
Overall, AI Maestro Agent Management is an essential tool for anyone looking to leverage AI agents effectively within their projects. By simplifying the management process, it allows users to focus more on development and less on the overhead of maintaining agent states and configurations.
When to use it
Use this skill when you need to create, manage, or orchestrate AI agents efficiently through a command-line interface.
When not to use it
This skill may not be suitable for users who prefer graphical interfaces or those not using the AI Maestro platform.
What you can build with it
Creating a New Agent
Quickly create a new AI agent for a specific task using the command line, specifying its directory and tags.
Managing Agent States
Hibernate agents at the end of the day to save resources and wake them up the next morning for continued work.
Backup Agent Configurations
Export agent configurations before making significant changes to ensure you can restore them if needed.
How to install AI Maestro Agent Management
View source1. Install with the skills CLI
npx skills add davila7/claude-code-templates/agent-management --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by davila7AI Maestro Agent Management
Create, manage, and orchestrate multiple AI agents through a unified CLI. Handles the full agent lifecycle: create, hibernate, wake, rename, export/import, and plugin management. Part of the AI Maestro suite.
Prerequisites
Requires AI Maestro running locally with tmux 3.0+.
# Install the CLI
git clone https://github.com/23blocks-OS/ai-maestro-plugins.git
cd ai-maestro-plugins && ./install-agent-cli.sh
Core Commands
Agent Lifecycle
| Command | Description |
|---|---|
aimaestro-agent.sh list | List all agents with status |
aimaestro-agent.sh show <agent> | Detailed agent information |
aimaestro-agent.sh create <name> --dir <path> | Create new agent |
aimaestro-agent.sh update <agent> --task "..." | Update task/tags |
aimaestro-agent.sh delete <agent> --confirm | Delete agent |
aimaestro-agent.sh rename <old> <new> | Rename agent |
aimaestro-agent.sh hibernate <agent> | Save state, free resources |
aimaestro-agent.sh wake <agent> | Resume hibernated agent |
aimaestro-agent.sh restart <agent> | Hibernate then wake |
Plugin Management
| Command | Description |
|---|---|
aimaestro-agent.sh plugin install <agent> <plugin> | Install plugin |
aimaestro-agent.sh plugin uninstall <agent> <plugin> | Remove plugin |
aimaestro-agent.sh plugin list <agent> | List installed plugins |
aimaestro-agent.sh plugin marketplace add <agent> <source> | Add marketplace |
Export/Import
| Command | Description |
|---|---|
aimaestro-agent.sh export <agent> | Export agent config |
aimaestro-agent.sh import <file> | Import agent from file |
Usage Examples
# Create a backend API agent
aimaestro-agent.sh create backend-api \
--dir ~/projects/backend \
--task "Build REST API with TypeScript" \
--tags "api,typescript"
# End of day -- save resources
aimaestro-agent.sh hibernate frontend-ui
aimaestro-agent.sh hibernate data-processor
# Resume next morning
aimaestro-agent.sh wake frontend-ui --attach
# Install a plugin on an agent
aimaestro-agent.sh plugin install backend-api my-plugin
# Backup before risky changes
aimaestro-agent.sh export backend-api -o backup.json
Agent Statuses
| Status | Meaning |
|---|---|
online | Running in tmux session |
offline | Registered but no active session |
hibernated | Saved state, session killed |
Full AI Maestro Experience
This skill is part of the AI Maestro platform, which provides 6 skills for AI agent orchestration: messaging, memory, docs, graph, planning, and agent management.
Frequently asked questions about AI Maestro Agent Management
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