# teamwork

> Use this tool when you need to collaborate on complex tasks that require multiple AI agents with diverse skills. It solves problems of task distribution, agent coordination, and outcome integration, enabling efficient completion of large-scale projects. By providing task definitions as input and receiving coordinated team outputs, teamwork facilitates seamless cooperation among AI agents in various contexts.

Canonical page: https://skillsregistry.net/skills/chenxinbest-teamwork  
JSON: https://api.skillsregistry.net/v1/skills/chenxinbest-teamwork

## Description

Dynamically creates and manages AI agent teams for complex tasks.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-08-23

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/chenxinbest-teamwork)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chenxinbest-teamwork"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chenxinbest-teamwork` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chenxinbest-teamwork/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt