# argrelay

> Use this tool when you need to enhance your command-line interface (CLI) tools with advanced argument searching and tab-completion capabilities. It solves problems of inefficient command typing and argument discovery, providing a seamless user experience directly in the standard shell. By integrating with tools like git, argrelay streamlines workflow and boosts productivity.

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

## Description

A data server for CLI tools = MCP + args search + Tab-completion directly in the standard shell.

## Trust

- **Trust score (0–1):** 0.38
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-01

## Source

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

## 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": "argrelay-argrelay"
    }
  }
}
```

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