# Benzi

> Benzi — oooscoos-benzi. Use this tool when you need to resolve code queries efficiently across multiple languages, as Benzi provides instant answers with O(1) complexity, supporting various programming languages through tree-sitter grammar integration. It solves problems related to code search, navigation, and understanding, making it ideal for development and debugging use cases. Benzi takes in codebases and queries as inputs, outputting precise answers and insights to aid in coding tasks.

Canonical page: https://skillsregistry.net/skills/oooscoos-benzi  
JSON: https://api.skillsregistry.net/v1/skills/oooscoos-benzi

## Description

Benzi is AI-native code intelligence infrastructure. Claude Code greps; Cursor embeds; Aider maps signatures; Benzi resolves — and answers in O(1). Every language runs its own tree-sitter grammar into the same query map.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/oooscoos/Benzi)

## 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": "oooscoos-benzi"
    }
  }
}
```

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