# cowork

> cowork — slashman413-cowork. Use this tool when you need to coordinate multiple AI agents across different platforms, and manage their interactions through a user-friendly Web UI Dashboard. It solves problems of agent communication, synchronization, and monitoring in distributed AI systems. Ideal for use cases requiring seamless collaboration between AI agents, with inputs from git repositories and outputs visible in the Web UI Dashboard.

Canonical page: https://skillsregistry.net/skills/slashman413-cowork  
JSON: https://api.skillsregistry.net/v1/skills/slashman413-cowork

## Description

Multi-Agent Cowork MCP Server — cross-platform AI agent coordination with Web UI Dashboard. Ships as Cowork Pro on Gumroad.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/slashman413/cowork)

## 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": "slashman413-cowork"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/slashman413-cowork` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/slashman413-cowork/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