# coordinaut

> Use this tool when you need to manage multiple AI coding agents working in parallel, to solve problems of version control, data consistency, and task duplication. The coordinaut tool takes in coding tasks and agent assignments as inputs, and outputs verified and coordinated code changes, providing a streamlined workflow interface. It is ideal for use in large-scale AI-powered software development projects that require efficient collaboration and synchronization among coding agents.

Canonical page: https://skillsregistry.net/skills/levdomasnih-coordinaut  
JSON: https://api.skillsregistry.net/v1/skills/levdomasnih-coordinaut

## Description

Coordinates parallel AI coding agents by providing task ownership, scoped file locks, handoffs, and verification workflows.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/isnvvzzr02)
- **Repository:** <https://github.com/LevDomasnih/coordinaut>

## 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": "levdomasnih-coordinaut"
    }
  }
}
```

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

---
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