菜单
Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "hibernate agent", "wake agent", "install plugin", "show agent", "restart agent", or any agent lifecycle management task.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a message to an agent", "check agent inbox", "message another agent", "reply to a message", "notify an agent", or any inter-agent communication task.
Search auto-generated codebase documentation for function signatures, API docs, class definitions, and code comments. Use when the user asks to "search docs", "find documentation", "look up a function", "check the API", or before implementing changes to verify correct signatures and patterns.
Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to "find callers", "check dependencies", "what uses this", "show relationships", "find serializers", or when reading code and needing to understand what depends on a component before modifications.
Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting work to recall prior decisions.
Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "start a research project", or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
| name | agent-management |
| description | Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "hibernate agent", "wake agent", "install plugin", "show agent", "restart agent", or any agent lifecycle management task. |
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.
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
| 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 |
| 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 |
| Command | Description |
|---|---|
aimaestro-agent.sh export <agent> | Export agent config |
aimaestro-agent.sh import <file> | Import agent from file |
# 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
| Status | Meaning |
|---|---|
online | Running in tmux session |
offline | Registered but no active session |
hibernated | Saved state, session killed |
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.