# teamwork-ai

> teamwork-ai — rafaeljusto-teamwork-ai. Use this tool when you need to enhance collaboration and project management with AI-driven insights and automation, solving problems such as task optimization and team performance analysis. It integrates with Git and Teamwork.com, accepting project data as input and generating actionable recommendations as output. Ideal for teams seeking to streamline workflows and improve productivity.

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

## Description

Teamwork.com extra AI capabilities

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rafaeljusto/teamwork-ai)

## 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": "rafaeljusto-teamwork-ai"
    }
  }
}
```

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