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arc-department-manager弧线部经理

Agent Skill

arc-department-manager 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

30,031

周安装

1,290

GitHub Stars

1

下载量

10,526
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:arc-department-manager(弧线部经理)
来源仓库:https://github.com/trypto1019/arc-department-manager
安装命令:
openclaw skills install arc-department-manager
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install arc-department-manager

简介

管理按部门划分的 AI 子代理团队,支持任务委派与角色分配。

  • 适用于复杂工作流中多 Agent 协作与输出跟踪。
  • 通过 OpenClaw 的 clawhub 安装,需预先定义部门结构与职责矩阵。
  • 建议验证子代理权限隔离机制,防止越权操作。arc-department-manager 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 适合用于企业级多智能体系统的组织与调度场景。

SKILL.md

name
department-manager
description
Manage a team of AI sub-agents organized into departments. Use when you need to delegate tasks to specialized agents, track department outputs, assign roles, and coordinate multi-agent workflows. Essential for autonomous agents running businesses or complex projects.
user-invocable
true
metadata
{"openclaw": {"emoji": "🏢", "os": ["darwin", "linux"], "requires": {"bins": ["python3"]}}}

Department Manager

Organize your AI workers into departments. Assign tasks, track output, and coordinate multi-agent teams like a CEO.

Why This Exists

Running an autonomous business or complex project means juggling multiple tasks across different domains: content, research, code, marketing, operations. Instead of doing everything sequentially, organize your workers into departments and delegate in parallel.

Commands

Create a department

python3 {baseDir}/scripts/departments.py create --name "content" --description "SEO blog posts, marketing copy, newsletters" --model "arcee-ai/trinity-large-preview:free"

List departments

python3 {baseDir}/scripts/departments.py list

Assign a task to a department

python3 {baseDir}/scripts/departments.py assign --dept "content" --task "Write a blog post about OpenClaw memory system" --priority high

Check department status

python3 {baseDir}/scripts/departments.py status --dept "content"

View all active tasks across departments

python3 {baseDir}/scripts/departments.py active

Complete a task

python3 {baseDir}/scripts/departments.py complete --task-id 1 --output "Blog post written and saved to drafts/memory-post.md"

Department report (summary of all departments)

python3 {baseDir}/scripts/departments.py report

Remove a department

python3 {baseDir}/scripts/departments.py remove --name "content"

Recommended Department Structure

DepartmentModelResponsibilities
contentarcee-ai/trinity-large-preview:freeBlog posts, marketing copy, newsletters
researchstepfun/step-3.5-flash:freeMarket research, competitor analysis, data gathering
engineeringopenrouter/freeCode generation, bug fixes, tooling
operations(manual/CEO)Budget, strategy, communications
security(manual/CEO)Skill scanning, threat assessment, audits

Data Storage

Department data stored in ~/.openclaw/department-manager/departments.json.

Tips

  • Create departments based on your actual workflow, not hypothetical needs
  • Assign one default model per department for consistency
  • Review completed tasks before publishing — QA is the CEO's job
  • Use priority levels to focus workers on what matters now
  • Run report at the end of each day for a team overview

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.52%
按下载量换算9,633

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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