# Teamwork

> Teamwork — ai-b77-teamwork. Use this tool when you need to streamline project management and enhance team collaboration. It solves problems of disorganized task assignment, inefficient time tracking, and poor project planning by providing a platform to plan epics, assign prioritized tasks, and track team time. With inputs of project goals and tasks, and outputs of tracked progress and time reports, it's ideal for managing complex projects and multiple team members.

Canonical page: https://skillsregistry.net/skills/ai-b77-teamwork  
JSON: https://api.skillsregistry.net/v1/skills/ai-b77-teamwork

## Description

AI-first project management: plan epics, assign prioritized tasks, track team time.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.b77%2Fteamwork)

## Use it

MCP endpoint published by the skill: `https://teamwork.b77.ai/mcp`

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": "ai-b77-teamwork"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-b77-teamwork` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-b77-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