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