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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.

Stars

0

Installs

0

Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 teamwork 技能。 若已安装,则直接安装 teamwork 技能。

Overview

Skill Key
chenxinbest/teamwork
Author
chenxinbest
Source Repo
openclaw/skills
Version
-
Source Path
skills/chenxinbest/teamwork
Latest Commit SHA
3a17e4fff8c6b5d3ac0053cfa03aa1a4a118c24d

Extracted Content

SKILL.md excerpt

# 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 excerpt

# 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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