# arabian

> arabian — ramzybakir-arabian. Use this tool when you need to capture and understand the evolution of your codebase, providing a clear engineering lineage to explain why your code looks the way it does. It solves problems of codebase complexity and knowledge loss by tracking changes and providing a local-first approach. With interfaces including CLI, MCP server, and web UI, and integration with git, it helps developers make informed decisions and collaborate effectively.

Canonical page: https://skillsregistry.net/skills/ramzybakir-arabian  
JSON: https://api.skillsregistry.net/v1/skills/ramzybakir-arabian

## Description

Local-first engineering lineage: capture why your codebase looks the way it does. CLI, MCP server, and web UI.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/RamzyBakir/arabian)

## 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": "ramzybakir-arabian"
    }
  }
}
```

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