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genpark-ai-comment-skill

An AI agent skill for decision-intent social media marketing.

Install / Use

claude mcp add alphaparkinc -- npx -y github:alphaparkinc/genpark-ai-comment-skill

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

71/100

Category

Marketing

Supported Platforms

Claude Code
Claude Desktop

genpark-ai-comment-skill

GenPark AI Agent Skill -- # AI Comment Skill 🚀

A decision-intent marketing agent skill inspired by the growth strategies of tools like Xiaowa AI. This skill helps you capture high-intent users directly from social media comment sections.

🎯 What is it?

Traditional ads target Search Intent (Google) or Behavioral Intent (Meta). This skill targets Decision Intent. When users are in comment sections on Reddit, X, YouTube, or TikTok comparing products, complaining about pricing, or asking for recommendations, this skill analyzes the context and generates a natural, helpful reply that subtly introduces your product.

📦 What's included?

  • skill.json: The core Agent Skill definition. It includes the system prompt, input schema, and output schema.
  • example_usage.py: A Python script demonstrating how to use this skill with the OpenAI API.

🛠️ How to use

Option 1: Import to an Agent Platform

You can import skill.json into platforms like Dify, Coze, or custom GPTs. Map the inputs (product details, platform, comment text) to the prompt variables.

Option 2: Use in your Python Backend

  1. Install OpenAI SDK: pip install openai
  2. Set your API key: export OPENAI_API_KEY="your-key-here"
  3. Run the example: python example_usage.py

🧠 Core Strategy

  • Platform Adaptation: Automatically adjusts tone (e.g., Reddit needs detailed, objective answers; TikTok needs fast, casual replies).
  • Empathy First: Acknowledges the user's pain point before mentioning the product.
  • Value-Driven: Highlights specific features that solve the user's exact problem, avoiding generic "Buy Now" spam.

Related Skills

View on GitHub
GitHub Stars9
CategoryMarketing
Updated1mo ago
Forks0

Languages

Python

Security Score

75/100

Audited on Jul 10, 2026

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