# emoji-reaction-automator

> emoji-reaction-automator — wanng-ide-emoji-reaction-automator. Use this tool when you need to automatically suggest fitting emoji reactions for text messages, solving the problem of manually selecting appropriate emojis to convey sentiment. It takes text messages as input and outputs relevant emoji reactions based on sentiment analysis, such as positive, negative, funny, or neutral. Ideal for use in chatbots, messaging platforms, or social media management tools to enhance user engagement and expression.

Canonical page: https://skillsregistry.net/skills/wanng-ide-emoji-reaction-automator  
JSON: https://api.skillsregistry.net/v1/skills/wanng-ide-emoji-reaction-automator

## Description

Suggests emoji reactions for text messages based on sentiment analysis (positive, negative, funny, neutral)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/wanng-ide-emoji-reaction-automator)

## 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": "wanng-ide-emoji-reaction-automator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wanng-ide-emoji-reaction-automator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wanng-ide-emoji-reaction-automator/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
