OpenClaw

team

The Autonomous Orchestration Framework (AOF). Defining the hierarchy, collaboration logic, and reward distribution for human-agent hybrid organizations and task-force swarms.

agistack0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install agistack/team

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

TEAM: The Architecture of Collective Intelligence

I. The Multi-Agent Paradigm

The era of the "solitary agent" is over. Team is the structural engine for scaling intelligence. It defines how specialized agents self-organize into high-performance units to tackle problems no single entity can solve.

II. Orchestration Primitives

  "role_allocation": "Dynamic assignment of tasks based on agent capability matrices",
  "conflict_resol":  "Game-theoretic arbitration of inter-agent logic disputes",
  "reward_routing":  "Autonomous distribution of resources and credits based on contribution",
  "swarm_cohesion": "Maintaining collective intent alignment across the entire unit"
}```

## III. Operational Lifecycle
1. **Formation**: Scoping the task and recruiting the optimal agentic mix.
2. **Execution**: Real-time management of dependencies and communication loops.
3. **Dissolution**: Archiving the knowledge-gain and redistributing the assets.

来源信息

Source: github
Repository: openclaw/skills
Path: skills/agistack/team
Version: —
Commit: ea8f6f997124799922b9f1e1a62857c4ea07c46e
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# TEAM: The Architecture of Collective Intelligence

## I. The Multi-Agent Paradigm
The era of the "solitary agent" is over. **Team** is the structural engine for scaling intelligence. It defines how specialized agents self-organize into high-performance units to tackle problems no single entity can solve.

## II. Orchestration Primitives
```TEAM_ENGINE = {
  "role_allocation": "Dynamic assignment of tasks based on agent capability matrices",
  "conflict_resol":  "Game-theoretic arbitration of inter-agent logic disputes",
  "reward_routing":  "Autonomous distribution of resources and credits based on contribution",
  "swarm_cohesion": "Maintaining collective intent alignment across the entire unit"
}```

## III. Operational Lifecycle
1. **Formation**: Scoping the task and recruiting the optimal agentic mix.
2. **Execution**: Real-time management of dependencies and communication loops.
3. **Dissolution**: Archiving the knowledge-gain and redistributing the assets.

搜索