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OpenClaw

teamwork

Dynamically creates and manages AI agent teams for complex tasks. Invoke when user requests multi-agent collaboration, complex project execution, or when tasks require specialized roles and coordinated workflow.

chenxinbest0 来源安装数☆ 0 仓库 Stars

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 chenxinbest/teamwork

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

Teamwork Skill

This skill enables dynamic team creation and management for executing complex engineering tasks through coordinated AI agents with intelligent model selection, cost optimization, and continuous performance evaluation.

When to Invoke

Invoke this skill when:

  • User requests execution of complex projects requiring multiple specialized roles
  • Tasks need to be broken down into coordinated steps (analysis, design, implementation, testing, review)
  • User wants to leverage multiple AI models/providers for optimal cost-performance balance
  • Projects require structured workflow with quality assurance and iteration

Initialization & Configuration Management

Automatic Initialization

IMPORTANT: This skill includes an autonomous initialization system. When invoked for the first time or when configuration is missing, it will automatically:

  1. Check Configuration Status

    • Verify if .trae/config/providers.json exists
    • Verify if .trae/config/team-roles.json exists
    • Verify if .trae/data/model_scores.json exists
  2. Interactive Setup Process If configuration files are missing or incomplete, the skill will proactively ask the user:

    Step 1: Provider Setup

    • Ask: "Which AI providers would you like to configure? (e.g., OpenAI, Anthropic, Google, Azure, etc.)"
    • For each provider, collect:
      • Provider name
      • API key (or environment variable name)
      • Base URL (if custom endpoint)

    Step 2: Model Configuration For each provider, ask:

    • "Which models from [provider] would you like to use?"
    • For each model, collect:
      • Model name/identifier
      • Pricing model type (subscription/tiered_usage/pay_per_use)
      • Pricing details based on type:
        • Subscription: cost, start date, end date
        • Tiered Usage: daily quota, monthly quota, overage rate
        • Pay-Per-Use: input cost per 1k tokens, output cost per 1k tokens...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/chenxinbest/teamwork
Version
—
Commit
3a17e4fff8c6b5d3ac0053cfa03aa1a4a118c24d
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。

README

Teamwork Skill

A comprehensive AI agent team management skill for OpenClaw that enables dynamic team creation, intelligent model selection, and coordinated task execution.

Features

  • Multi-Provider Support: Configure multiple AI providers (OpenAI, Anthropic, Google, etc.)
  • Flexible Pricing Models: Support for subscription, tiered usage, and pay-per-use pricing
  • 8-Dimension Performance Evaluation: Comprehensive model scoring system
  • Herald Communication System: Centralized message relay and coordination
  • Complete Workflow Management: From requirement analysis to final delivery
  • Template-Based Reporting: Structured documentation for all activities

Quick Start

Installation

This skill is designed to be used with OpenClaw. Simply place it in your .trae/skills/teamwork/ directory.

Initial Setup

When first invoked, the skill will automatically guide you through configuration:

  1. Provider Setup: Add your AI providers and API keys
  2. Model Configuration: Configure models with pricing and capabilities
  3. Host Model Selection: Choose your primary interaction model
  4. Budget Setup: Set spending limits (optional)
Usage
// The skill is automatically invoked by OpenClaw when:
// - User requests multi-agent collaboration
// - Complex projects need coordinated execution
// - Tasks require specialized roles

Directory Structure

.trae/skills/teamwork/
├── SKILL.md              # Main skill definition
├── package.json          # Node.js package configuration
├── scripts/              # Execution scripts
│   ├── init.js          # Initialization
│   ├── config-manager.js # Configuration management
│   ├── score-manager.js  # Performance scoring
│   ├── team-coordinator.js # Team coordination
│   └── herald.js        # Communication system
├── templates/            # Document templates
│   ├── task-report.md
│   ├── meeting-minutes.md...

来源内容

SKILL.md
# Teamwork Skill

This skill enables dynamic team creation and management for executing complex engineering tasks through coordinated AI agents with intelligent model selection, cost optimization, and continuous performance evaluation.

## When to Invoke

Invoke this skill when:
- User requests execution of complex projects requiring multiple specialized roles
- Tasks need to be broken down into coordinated steps (analysis, design, implementation, testing, review)
- User wants to leverage multiple AI models/providers for optimal cost-performance balance
- Projects require structured workflow with quality assurance and iteration

## Initialization & Configuration Management

### Automatic Initialization

**IMPORTANT**: This skill includes an autonomous initialization system. When invoked for the first time or when configuration is missing, it will automatically:

1. **Check Configuration Status**
   - Verify if `.trae/config/providers.json` exists
   - Verify if `.trae/config/team-roles.json` exists
   - Verify if `.trae/data/model_scores.json` exists

2. **Interactive Setup Process**
   If configuration files are missing or incomplete, the skill will proactively ask the user:

   **Step 1: Provider Setup**
   - Ask: "Which AI providers would you like to configure? (e.g., OpenAI, Anthropic, Google, Azure, etc.)"
   - For each provider, collect:
     - Provider name
     - API key (or environment variable name)
     - Base URL (if custom endpoint)
   
   **Step 2: Model Configuration**
   For each provider, ask:
   - "Which models from [provider] would you like to use?"
   - For each model, collect:
     - Model name/identifier
     - Pricing model type (subscription/tiered_usage/pay_per_use)
     - Pricing details based on type:
       - **Subscription**: cost, start date, end date
       - **Tiered Usage**: daily quota, monthly quota, overage rate
       - **Pay-Per-Use**: input cost per 1k tokens, output cost per 1k tokens...
README
# Teamwork Skill

A comprehensive AI agent team management skill for OpenClaw that enables dynamic team creation, intelligent model selection, and coordinated task execution.

## Features

- **Multi-Provider Support**: Configure multiple AI providers (OpenAI, Anthropic, Google, etc.)
- **Flexible Pricing Models**: Support for subscription, tiered usage, and pay-per-use pricing
- **8-Dimension Performance Evaluation**: Comprehensive model scoring system
- **Herald Communication System**: Centralized message relay and coordination
- **Complete Workflow Management**: From requirement analysis to final delivery
- **Template-Based Reporting**: Structured documentation for all activities

## Quick Start

### Installation

This skill is designed to be used with OpenClaw. Simply place it in your `.trae/skills/teamwork/` directory.

### Initial Setup

When first invoked, the skill will automatically guide you through configuration:

1. **Provider Setup**: Add your AI providers and API keys
2. **Model Configuration**: Configure models with pricing and capabilities
3. **Host Model Selection**: Choose your primary interaction model
4. **Budget Setup**: Set spending limits (optional)

### Usage

```javascript
// The skill is automatically invoked by OpenClaw when:
// - User requests multi-agent collaboration
// - Complex projects need coordinated execution
// - Tasks require specialized roles
```

## Directory Structure

```
.trae/skills/teamwork/
├── SKILL.md              # Main skill definition
├── package.json          # Node.js package configuration
├── scripts/              # Execution scripts
│   ├── init.js          # Initialization
│   ├── config-manager.js # Configuration management
│   ├── score-manager.js  # Performance scoring
│   ├── team-coordinator.js # Team coordination
│   └── herald.js        # Communication system
├── templates/            # Document templates
│   ├── task-report.md
│   ├── meeting-minutes.md...

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