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genpark-product-comparison-agent-skill

GenPark multi-product comparison agent skill. Generates structured side-by-side spec markdown tables and weighted scores.

Install / Use

claude mcp add alphaparkinc -- npx -y github:alphaparkinc/genpark-product-comparison-agent-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

68/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop
Cursor

genpark-product-comparison-agent-skill

This repository contains the GenPark Product Comparison Agent Skill — an agent configuration skill config (skill.json), a production-ready Python SDK client (comparison_agent.py), and executable verification tests. It is designed to compare multiple retail/product SKUs, apply dynamic weights to user pricing vs. features priorities, and generate structured markdown tables.


🚀 Capabilities

  • Weighted Priority Scoring: Calculates relative values based on custom importance factors.
  • Auto-Markdown Generation: Automatically constructs side-by-side spec comparison matrices.
  • Verdict Synthesis: Resolves standard action guidelines for product recommendations.

🛠️ Setup & Installation

  1. Install dependencies:
    pip install -r requirements.txt
    

💻 SDK Usage Reference

from comparison_agent import ProductComparisonClient

# Initialize client
client = ProductComparisonClient()

# Execute comparison
result = client.compare(
    products=[
        {"sku": "SKU-A", "name": "Item A", "price": 100, "rating": 4.5, "features": {"f1": "yes"}},
        {"sku": "SKU-B", "name": "Item B", "price": 80, "rating": 4.0, "features": {}}
    ],
    priorities={"price_importance": 4, "feature_richness": 1}
)

print(result["comparison_table_markdown"])

📜 License

This project is licensed under the MIT License.

Related Skills

View on GitHub
GitHub Stars9
CategoryAutomation
Updated2mo ago
Forks0

Languages

Python

Security Score

80/100

Audited on Jul 10, 2026

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