ticruz38/skills/engagement-replies

Engagement Replies

Generate AI-powered reply suggestions for social media comments and messages with intelligent tone matching and sentiment awareness.

Capabilities

• Reply Generation: Create contextual reply suggestions for any comment or message
• Tone Matching: Automatically match the tone of the incoming message or choose from 8 different tones
• Quick Templates: Access pre-built response templates for common scenarios
• Sentiment Awareness: Detect sentiment and adjust replies accordingly
• Multiple Suggestions: Get 3 different reply options to choose from
• History Tracking: Save and review all generated replies

Installation

cd skills/engagement-replies
npm install
npm run build

Usage

CLI

# Generate reply suggestions for a comment
npx engagement-replies generate --message "Great post! Really helpful content." --context "blog-post" --author "JohnDoe"

# Generate with specific tone
npx engagement-replies generate -m "Thanks for sharing!" -c "linkedin-comment" -t professional

# Use a quick template
npx engagement-replies template --name "thank-you" --variables '{"name":"John"}'

# List available templates
npx engagement-replies templates

# View sentiment analysis
npx engagement-replies sentiment --message "This is amazing! Love your work!"

# View reply history
npx engagement-replies history --limit 10

Library

import { EngagementRepliesSkill } from '@openclaw/engagement-replies';

const replies = new EngagementRepliesSkill();

// Generate reply suggestions
const suggestions = await replies.generateReplies({
  message: "Great post! Really helpful content.",
  context: "Blog post about AI tools",
  authorName: "JohnDoe",
  platform: "twitter",
  tone: "friendly",
  count: 3
});

console.log(suggestions);
// Returns array of reply options with different approaches

// Analyze sentiment
const sentiment = await replies.analyzeSentiment("This is amazing! Love your work!");
console.log(sentiment);
// { sentiment: 'positive', score: 0.9, emotions: ['joy', 'excitement'] }

// Use a quick template
const template = await replies.getTemplate("thank-you");
const reply = replies.applyTemplate(template, { name: "John", product: "Our Service" });

// Get all templates
const templates = await replies.getTemplates();

// View history
const history = await replies.getHistory(10);

await replies.close();

Reply Types

Platforms

• twitter: Short, concise replies optimized for Twitter/X
• linkedin: Professional tone for business networking
• instagram: Visual-friendly, emoji-supported replies
• facebook: Casual, conversational style
• email: Formal, structured responses
• generic: Platform-agnostic replies

Tones

• professional: Clear, business-appropriate language
• casual: Relaxed, conversational style
• friendly: Warm and approachable
• formal: Proper grammar, sophisticated vocabulary
• enthusiastic: Excited and energetic
• empathetic: Understanding and compassionate
• authoritative: Expert and confident
• witty: Clever and humorous

Sentiment Responses

• Positive: Gratitude, agreement, encouragement
• Negative: Empathy, problem-solving, de-escalation
• Neutral: Informational, helpful, clarifying
• Mixed: Balanced, addressing concerns positively

Templates

Built-in quick response templates:

• thank-you: Express gratitude for positive feedback
• question-response: Answer common questions
• complaint-acknowledgment: Acknowledge issues professionally
• follow-up-request: Encourage further engagement
• appreciation: Show appreciation for support
• welcome: Greet new followers/connections
• apology: Professional apology responses
• clarification: Clear up misunderstandings

Database

Replies are stored in SQLite at ~/.openclaw/skills/engagement-replies/replies.db:

• generated_replies: All generated reply suggestions with metadata
• templates: Quick response templates
• sentiment_cache: Cached sentiment analysis results

No External Dependencies

This skill uses local AI generation patterns and does not require external API keys. It works entirely offline.