agent-dispatch-use

Name: agent-dispatch-use
Availability: InStock
Author: blackplume233

Automate end-to-end AgentDispatch server, worker, and task orchestration.

1|1|Updated Feb 28, 2026

Search Tags:#onboarding #orchestration #server #worker #agent-dispatch #acp

Ready to run

npx skills add https://github.com/blackplume233/AgentDispatch --skill agent-dispatch-use

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-dispatch-use
Source: https://github.com/blackplume233/AgentDispatch/tree/main/.opencode/skills/agent-dispatch-use
Command: npx skills add https://github.com/blackplume233/AgentDispatch --skill agent-dispatch-use

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AgentDispatch 使用指南提供一份完整的入门与运维蓝图，帮助 AI Agent 平台快速从零开始搭建 Server、配置 Client Node、挂载 Worker、提交任务并监控全流程。

Core Features & Use Cases

一站式端到端部署：服务器、客户端和 Worker 的协同工作流清晰可控。
ACP 兼容性与灵活性：支持多种 Agent 通过 ACP 进行通信和任务执行。
实时任务监控与产物管理：任务流转、产出产物打包及状态可观测。

Quick Start

请先阅读文档中的三阶段安装方案，确保 Node.js 与 pnpm 环境就绪，然后按指南启动 Server、配置 Client Node、挂载至少一个 Worker 并提交一个测试任务。

Frequently Asked Questions about agent-dispatch-use

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

FAQPage Schema

How do I set up an AI agent server and register workers in a distributed cluster?▼

Setting up an AI agent server and registering workers requires configuring the server, connecting client nodes, and mounting workers to enable distributed task orchestration. You can then submit tasks and monitor progress across the cluster.

What is ACP-based agent communication and how does it work for task execution?▼

ACP-based agent communication is a protocol that enables diverse AI agents to interact and execute tasks within the orchestration platform, providing flexible hooks for lifecycle management and task routing across the distributed cluster.

Do I need Node.js and pnpm to deploy and orchestrate AI agents?▼

Yes, Node.js and pnpm must be installed and ready before deployment. The orchestration setup requires these environments to execute the three-phase installation plan and successfully start the server and client nodes.

How do I monitor task progress and manage output artifacts in a distributed agent cluster?▼

You monitor task progress and manage artifacts using the platform's real-time observability features to track task flow and package output artifacts. This provides full visibility into the lifecycle and status of submitted tasks across the cluster.

What is the best way to orchestrate distributed AI agents for task submission and lifecycle management?▼

The best way to orchestrate distributed AI agents is using a structured workflow that mounts workers to a server and applies ACP-based hooks for task submission and lifecycle management. This ensures coordinated task execution and monitoring across client nodes.