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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 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install chenxinbest/teamwork

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/chenxinbest/teamwork
Version
—
Commit
3a17e4fff8c6b5d3ac0053cfa03aa1a4a118c24d
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

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...

Contenu extrait

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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