engagement

Monitor and respond to social media comments, DMs, and mentions.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/teodorboev/socialai --skill engagement
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: engagement
Source: https://github.com/teodorboev/socialai/tree/main/.opencode/skills/engagement
Command: npx skills add https://github.com/teodorboev/socialai --skill engagement

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the monitoring and responding to social media interactions, acting as a brand's community manager to handle comments, DMs, and mentions efficiently and on-brand.

Core Features & Use Cases

  • Automated Responses: Generates context-aware replies to social media engagements.
  • Sentiment Analysis: Detects the emotional tone of incoming messages.
  • Safety & Escalation: Identifies and flags critical issues, spam, or potential PR crises for human review or escalation.
  • Platform-Specific Guidelines: Adheres to response length and tone guidelines for different social platforms.
  • Use Case: Automatically respond to a customer compliment on Instagram, answer a common question from the FAQ on Twitter, or flag a potentially harmful comment for immediate human review.

Quick Start

Use the engagement skill to respond to a new direct message from a user.

Frequently Asked Questions about engagement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate social media engagement for comments and DMs?

You can automate social media engagement by configuring brand voice, FAQ knowledge, and safety rules to generate context-aware replies. The skill monitors comments, DMs, and mentions, then automatically responds based on your specific platform tone and length guidelines.

How does sentiment analysis work for social media community management?

Sentiment analysis for social media community management detects the emotional tone of incoming messages to guide response automation. It evaluates user comments and DMs to determine if the interaction is positive, negative, or critical, which helps trigger appropriate brand responses or safety escalations.

Can I use automated response automation to detect and flag PR crises?

Yes, response automation can detect and flag PR crises by enforcing safety rules during social media monitoring. It identifies critical issues, spam, and potentially harmful comments, automatically escalating these interactions for immediate human review rather than generating a standard automated reply.

Do I need to configure brand voice guidelines for social media response automation?

Yes, you must configure brand voice guidelines, including tone, FAQ knowledge, and do-not-engage rules, for social media response automation. This configuration ensures the generated replies are appropriate, adhere to platform-specific length constraints, and accurately reflect your brand identity.

What is the best way to manage platform-specific tone guidelines for social media mentions?

The best way to manage platform-specific tone guidelines for social media mentions is to use an automation skill that adjusts response length and tone per platform. By inputting your brand configuration, the system generates replies that comply with the unique constraints of each social media network.

What are the limitations of automating customer service responses for social media?

Limitations of automating customer service responses include the need for strict brand configuration and do-not-engage rules to prevent inappropriate replies. While automation handles standard interactions, complex or potentially harmful comments require human escalation to avoid safety or PR issues.