# Genitz

> Genitz — koriebruh-genitz. Use this tool when you need to quickly scaffold Go projects and manage dependencies with a curated package registry. Genitz solves problems of tedious project setup and dependency management, providing presets, Docker, and CI integration, as well as an MCP server for AI agents. It takes in project specifications and outputs a fully configured project structure with managed dependencies via its terminal CLI interface.

Canonical page: https://skillsregistry.net/skills/koriebruh-genitz  
JSON: https://api.skillsregistry.net/v1/skills/koriebruh-genitz

## Description

Terminal CLI to scaffold Go projects and manage dependencies via a curated 120-package registry — presets, Docker/CI, MCP server for AI agents.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/koriebruh/Genitz)

## 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": "koriebruh-genitz"
    }
  }
}
```

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