# DAUT

> DAUT — 2dogsandanerd-daut. Use this tool when you need to automatically generate and update documentation for your codebase, saving time and reducing errors. DAUT solves the problem of outdated documentation by seamlessly integrating with Git to keep your documents up-to-date. It takes in codebase data as input and outputs accurate, AI-powered documentation, ideal for use during development and maintenance phases.

Canonical page: https://skillsregistry.net/skills/2dogsandanerd-daut  
JSON: https://api.skillsregistry.net/v1/skills/2dogsandanerd-daut

## Description

DAUT –  Documentation Auto Updater - AI-powered documentation generator for your codebase. MCP-Connector

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/2dogsandanerd/DAUT)

## 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": "2dogsandanerd-daut"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/2dogsandanerd-daut` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/2dogsandanerd-daut/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