Setup & Installation
openclaw skills install @wanng-ide/emoji-reaction-automator
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install 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
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: suggest a reaction for 'This is awesome! Great job.'
AGENT
- 1Receives the input text string
- 2Runs rule-based sentiment analysis on the text
- 3Classifies the message into the positive category
- 4Selects an emoji from the positive set
- 5Returns the category, emoji, and confidence score
OUTPUT
{ category: 'positive', emoji: '👍', confidence: 0.9 }