emoji-reaction-automator

Web & Frontend Development
v1.0.0
Benign

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

461 downloads461 installsby @wanng-ide

Setup & Installation

Install command

clawhub install wanng-ide/emoji-reaction-automator

If the CLI is not installed:

Install command

npx clawhub@latest install wanng-ide/emoji-reaction-automator

Or install with OpenClaw CLI:

Install command

openclaw skills install wanng-ide/emoji-reaction-automator

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/wanng-ide/emoji-reaction-automator

What This Skill Does

Analyzes text messages and suggests an emoji reaction based on sentiment category. Categories cover positive, negative, funny, curious, excited, and neutral tones. A lightweight, rule-based mapper with no ML dependencies.

Delivers instant emoji suggestions without an ML model, API key, or network call.

When to Use It

  • Reacting to teammate messages in a group chat
  • Suggesting emoji responses for customer support tickets
  • Auto-tagging user feedback by emotional tone
  • Adding emoji reactions in comment moderation workflows
  • Making chatbot replies feel more conversational with contextual reactions
View original SKILL.md file
## Usage

```javascript
const { suggestReaction } = require('./index.js');

const text = "This is awesome! Great job.";
const suggestion = suggestReaction(text);
// Returns: { category: "positive", emoji: "๐Ÿ‘", confidence: 0.9 }
```

## Supported Categories

- **Positive:** ๐Ÿ‘, โค๏ธ, ๐Ÿ™Œ, โœ…
- **Negative:** ๐Ÿ‘Ž, ๐Ÿ’”, โŒ, โš ๏ธ
- **Funny:** ๐Ÿ˜‚, ๐Ÿคฃ, ๐Ÿ’€
- **Curious:** ๐Ÿค”, ๐Ÿง, โ“
- **Excited:** ๐ŸŽ‰, ๐Ÿš€, ๐Ÿ”ฅ
- **Neutral:** ๐Ÿ‘€, ๐Ÿ†—

## Notes

This is a lightweight rule-based sentiment mapper designed for quick reactions without heavy ML dependencies.

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Reacting to teammate messages in a group chat

AGENT
  1. 1Reacting to teammate messages in a group chat
  2. 2Suggesting emoji responses for customer support tickets
  3. 3Auto-tagging user feedback by emotional tone
  4. 4Adding emoji reactions in comment moderation workflows
  5. 5Making chatbot replies feel more conversational with contextual reactions
OUTPUT
Suggests emoji reactions for text messages based on sentiment analysis (positive, negative, funny, neutral)

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Details

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Last updatedFeb 26, 2026