Genpark Product Comparison Agent Skill
БесплатноНе проверенGenPark multi-product comparison agent skill. Generates structured side-by-side spec markdown tables and weighted scores.
Описание
GenPark multi-product comparison agent skill. Generates structured side-by-side spec markdown tables and weighted scores.
README
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
- 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.
from github.com/alphaparkinc/genpark-product-comparison-agent-skill
Установка Genpark Product Comparison Agent Skill
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/alphaparkinc/genpark-product-comparison-agent-skillFAQ
Genpark Product Comparison Agent Skill MCP бесплатный?
Да, Genpark Product Comparison Agent Skill MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Genpark Product Comparison Agent Skill?
Нет, Genpark Product Comparison Agent Skill работает без API-ключей и переменных окружения.
Genpark Product Comparison Agent Skill — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Genpark Product Comparison Agent Skill в Claude Desktop, Claude Code или Cursor?
Открой Genpark Product Comparison Agent Skill на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
автор: lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
MCPHub
Website to list high quality MCP servers and reviews by real users. Also provide online chatbot for popular LLM models with MCP server support.
MCP Servers Rating and User Reviews
Website to rate MCP servers, write authentic user reviews, and [search engine for agent & mcp](http://www.deepnlp.org/search/agent)
mkinf
An Open Source registry of hosted MCP Servers to accelerate AI agent workflows.
Compare Genpark Product Comparison Agent Skill with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
