# Agent Team

> Use this tool when you need to manage complex projects and collaborate with multiple team members, as it provides a comprehensive suite of 44 tools and a team of 13 specialized AI agents to streamline project lifecycle management, task tracking, and team coordination. It solves problems related to project organization, communication, and decision-making by offering a shared database and various collaboration features. Ideal for use in dynamic project environments where multiple stakeholders and tasks need to be coordinated efficiently.

Canonical page: https://skillsregistry.net/skills/richardlemmon-agent-team  
JSON: https://api.skillsregistry.net/v1/skills/richardlemmon-agent-team

## Description

Provides a team of 13 specialized AI agents (Project Manager, Backend Developer, QA, Security Engineer, etc.) that collaborate through a shared SQLite database. Offers 44 MCP tools spanning project lifecycle management, task tracking, team coordination, artifact sharing, decision logging, and discussion threads.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/richardlemmon-agent-team)
- **Repository:** <https://github.com/richardlemmon/agentteam>

## 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": "richardlemmon-agent-team"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/richardlemmon-agent-team` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/richardlemmon-agent-team/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