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chenhg5
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agencycli

Manage AI agent teams via CLI with task assignment and scheduling.

149|12|Updated Mar 16, 2026
Search Tags:#cli#ai#task automation#agent#scheduler
One-click install
npx skills add https://github.com/chenhg5/agencycli --skill agencycli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agencycli
Source: https://github.com/chenhg5/agencycli/tree/main
Command: npx skills add https://github.com/chenhg5/agencycli --skill agencycli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh, git, jq, docker, python, node.js, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive CLI tool for organizing and operating AI agent teams. It automates various tasks like task assignment, scheduling, communication, and more.

Core Features & Use Cases

  • Hierarchical Team Management: Create agencies, teams, roles, projects, and agents.
  • Task Automation: Assign and run tasks with priority queues.
  • Autonomous Playbooks: Define and execute automated routines (wakeup.md) for idle agents.
  • Inbox Communication: Send and receive asynchronous messages between human and agents.
  • Heartbeat Scheduler: Configure schedules for agents to wake up and run tasks.
  • Cron Jobs: Schedule recurring tasks for agents.
  • Docker Sandboxes: Run agents in isolated Docker containers for security.
  • Skill Management: Deploy reusable instructions (SKILL.md) into agent workspaces.
  • Template Packaging: Share and reuse agency setups with templates.
  • Documentation & Examples: Provides a detailed guide on building and managing AI agent teams.

Quick Start

To get started, create a new agency using the 'create agency' command and follow the prompts to configure your team, roles, and projects.

Frequently Asked Questions about agencycli

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

FAQPage Schema
How do I manage AI agent teams using a CLI?▼

You can manage AI agent teams using a CLI by creating agencies, teams, roles, and projects. The CLI automates task assignment, scheduling, and asynchronous communication between human operators and agents.

Can I run AI agents in isolated Docker containers for security?▼

Yes, you can run AI agents in isolated Docker sandboxes. This provides a secure execution environment for automated tasks, ensuring operations are contained and separated from the host system.

How do I schedule recurring tasks and wake up idle AI agents?▼

You can schedule recurring tasks using cron jobs and a heartbeat scheduler. Additionally, autonomous playbooks like wakeup.md can be defined to execute automated routines for idle agents when they wake up.

Do I need Git and GitHub installed to automate task assignment for AI agents?▼

Yes, Git and GitHub CLI (gh) are required dependencies. They are used alongside Docker, Node.js, Python, and jq to enable task execution, environment isolation, scheduling, and communication across the agent team.

What is the best way to share and reuse AI agency configurations across projects?▼

The best way to share and reuse agency setups is through template packaging. You can package your agency configuration into a reusable template and deploy it to quickly bootstrap new agent teams and projects.

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