# var.gg Naming Memory

> Use this tool when you need to automatically generate meaningful names for code identifiers in multiple languages, solving the problem of inconsistent or unclear variable naming. It takes domain concepts as input and outputs suggested names in Korean, Japanese, Chinese, Vietnamese, and English. Ideal for developers working on multilingual projects or seeking to improve code readability across different languages and regions.

Canonical page: https://skillsregistry.net/skills/gg-var-naming-memory  
JSON: https://api.skillsregistry.net/v1/skills/gg-var-naming-memory

## Description

Curated multilingual dictionary that names code identifiers from domain concepts (KO/JA/ZH/VI/EN).

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 2.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/gg.var%2Fnaming-memory)

## Use it

MCP endpoint published by the skill: `https://var.gg/mcp`

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": "gg-var-naming-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gg-var-naming-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gg-var-naming-memory/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
