# Greeting

> Use this tool when you need to enhance user engagement with personalized greetings in your applications. It solves the problem of static interactions by providing customizable greetings that improve user experience. With inputs of user data and context, it outputs dynamic and tailored greetings to create a more immersive interaction.

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

## Description

Enhance your applications with personalized greeting capabilities. Easily integrate and customize greetings to improve user engagement and experience. Leverage the power of the Model Context Protocol to create dynamic interactions effortlessly.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/akaramanapp/greeting)

## 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": "akaramanapp-greeting"
    }
  }
}
```

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