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Agent Management

CommunityPopular
davila7
agent-management

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.

Overview

Publisherdavila7
Repositoryclaude-code-templates
Skill nameagent-management
Stars
30.8K
Forks
3.5K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by davila7 on GitHub. Read the source before you install it.

Installation

Install the Agent Management AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/davila7/claude-code-templates.git /tmp/claude-code-templates
mkdir -p .claude/skills
cp -r /tmp/claude-code-templates/cli-tool/components/skills/ai-maestro/agent-management .claude/skills/agent-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Management in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Management on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Management is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AI 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+.

bash
# 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

CommandDescription
aimaestro-agent.sh listList 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> --confirmDelete 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

CommandDescription
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

CommandDescription
aimaestro-agent.sh export <agent>Export agent config
aimaestro-agent.sh import <file>Import agent from file

Usage Examples

bash
# 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

StatusMeaning
onlineRunning in tmux session
offlineRegistered but no active session
hibernatedSaved 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

What does the Agent Management AI skill do?

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.

Why use Agent Management on TypingMind?

Because you install it once and use it with any model. Agent Management is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Management in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-maestro/agent-management. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Management?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Management?

As many as you like. As long as a model supports skills, you can use Agent Management with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Management AI skill free?

Yes. It is published on GitHub by davila7 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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