social-engagement-responder

Classify social media engagements and generate contextual replies for CRM routing.

2|Updated Apr 11, 2026

Search Tags:#engagement #crm #classification #social #replies #platform-formatting #lead-signal

Ready to run

npx skills add https://github.com/ekatasingh1107/b2b-gtm-skills --skill social-engagement-responder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: social-engagement-responder
Source: https://github.com/ekatasingh1107/b2b-gtm-skills/tree/main/skills/capabilities/social-engagement-responder
Command: npx skills add https://github.com/ekatasingh1107/b2b-gtm-skills --skill social-engagement-responder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Teams struggle to manage and respond to social media engagement at scale while correctly routing signals to CRM.

Core Features & Use Cases

Classifies engagements into lead signals, customer questions, partnerships, genuine engagement, and trolls.
Generates on-brand replies tailored to platform conventions.
Outputs structured data for CRM handoff and downstream workflows.

Quick Start

Provide a sample engagement and run the skill to generate a contextual reply and classification for it.

Frequently Asked Questions about social-engagement-responder

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

FAQPage Schema

How do I automate social media replies and classify lead signals at scale?▼

To automate social media replies and classify lead signals, provide a sample engagement to generate a contextual reply and categorize it into lead signals, customer questions, partnerships, or trolls. This ensures platform-specific formatting and outputs structured data for CRM handoff.

What is the best way to classify social media engagement types for CRM routing?▼

The best way to classify social media engagement for CRM routing is to evaluate comments, mentions, and DMs against categories like genuine engagement, trolls, and lead signals. This generates structured data for downstream CRM workflows and ensures interactions are routed accurately.

Can I use automated social engagement classification for direct messages and mentions?▼

Yes, automated social engagement classification applies to direct messages, mentions, and comments across multiple platforms. It evaluates these interactions to flag lead signals and customer questions while ensuring platform-specific formatting and safety checks are maintained.

How do I generate on-brand replies tailored to different social media platforms?▼

Generating on-brand replies tailored to different platforms requires applying platform-specific formatting conventions to automated responses. This ensures replies to comments, mentions, and DMs match the expected tone and structure of each individual platform while maintaining safety checks.

Does automated social engagement response generation handle troll detection?▼

Yes, automated social engagement response generation handles troll detection by classifying interactions into categories that include trolls, lead signals, and genuine engagement. This safety classification ensures troll interactions are identified and separated from standard customer questions.

How do I output structured social engagement data for downstream CRM workflows?▼

To output structured social engagement data for downstream CRM workflows, classify comments, mentions, and DMs into lead signals and other categories. This generates structured outputs that facilitate CRM handoff and enable subsequent downstream workflow automation.