# quartet

> quartet — egradman-quartet. Use this tool when you need to enable multiple AI agents to collaborate on a shared document, leveraging optimistic concurrency and change deltas to ensure seamless editing. It solves problems of concurrent document editing and communication among agents, providing a shared room with a chat channel for discussion. With input of shared document edits and output of updated documents and change deltas, use quartet in contexts where multi-agent collaboration and version control are crucial.

Canonical page: https://skillsregistry.net/skills/egradman-quartet  
JSON: https://api.skillsregistry.net/v1/skills/egradman-quartet

## Description

MCP server enabling AI agents to collaborate in shared rooms with a document edited via compare-and-swap optimistic concurrency, plus a chat channel and change deltas.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wnfx7tlhzi)
- **Repository:** <https://github.com/egradman/quartet>

## 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": "egradman-quartet"
    }
  }
}
```

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