# KakaoTalk Emoticons

> Use this tool when you need to automate the creation of KakaoTalk emoticons with various formats and validation. It solves problems related to emoticon design and submission by providing AI-generated emoticons, preview pages, and validation against KakaoTalk's specifications. It takes in design inputs and outputs optimized WebP emoticon files, making it ideal for developers and designers looking to streamline their emoticon creation process.

Canonical page: https://skillsregistry.net/skills/llaa33219-kakaotalk-emoticons  
JSON: https://api.skillsregistry.net/v1/skills/llaa33219-kakaotalk-emoticons

## Description

Automates KakaoTalk emoticon creation through a FastAPI-based MCP server. Provides tools for generating emoticons using Hugging Face AI models, creating preview pages for planning and final review, and validating sets against KakaoTalk's submission specifications. Supports static, animated, large, and mini emoticon formats with automatic WebP conversion.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/llaa33219-kakaotalk-emoticons)
- **Repository:** <https://github.com/llaa33219/playmcp-kakaotalk-emoticon>

## 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": "llaa33219-kakaotalk-emoticons"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/llaa33219-kakaotalk-emoticons` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/llaa33219-kakaotalk-emoticons/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