# arbor

> arbor — nikita-voronoy-arbor. Use this tool when you need to efficiently navigate and understand large codebases, as it fits your entire codebase into a large language model (LLM) context, solving problems of code discovery and comprehension. Arbor takes Git repositories as input and provides intuitive code navigation outputs, streamlining development workflows. Ideal for use cases where developers need to quickly grasp complex code structures and relationships.

Canonical page: https://skillsregistry.net/skills/nikita-voronoy-arbor  
JSON: https://api.skillsregistry.net/v1/skills/nikita-voronoy-arbor

## Description

Code navigation MCP server. Fits your entire codebase into an LLM context.

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/nikita-voronoy/arbor)

## 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": "nikita-voronoy-arbor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nikita-voronoy-arbor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nikita-voronoy-arbor/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