genpark-gift-recommendation-engine-skill
GenPark AI Skill - Generate personalized gift recommendations based on recipient profile, budget, and occasion for e-commerce stores
Install / Use
claude mcp add alphaparkinc -- npx -y github:alphaparkinc/genpark-gift-recommendation-engine-skillIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Skill content
View source on GitHubgenpark-gift-recommendation-engine-skill
GenPark AI Agent Skill -- Generate personalized gift recommendations based on recipient profile, budget, occasion, and interests.
Features
- Interest-to-category mapping (fitness, beauty, tech, travel, cooking, and more)
- Occasion-aware scoring: birthday, wedding, graduation, anniversary, holiday
- Budget fit optimization (ideal: 70-90% of budget)
- Personalized gift messages per occasion
- Wrapping style suggestions
- Ranks all catalog products by match score
Quick Start
from client import GiftRecommendationClient
client = GiftRecommendationClient()
result = client.recommend(
recipient={"age": 28, "gender": "female", "interests": ["fitness", "wellness"]},
occasion="birthday",
budget_usd=80.0,
product_catalog=[{"id":"P1","name":"Yoga Mat","price":65,"category":"fitness","tags":["wellness"]}],
)
for rec in result["recommendations"]:
print(f"{rec['product_name']} -- Score: {rec['match_score']}")
Installation
python example_usage.py # No external dependencies
Built by GenPark | alphaparkinc
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Audited on Jul 10, 2026
