Genpark Catalog Enrichment Skill

GenPark AI Agent Skill -- Auto-enrich product catalogs by detecting missing attributes, generating descriptions, inferring categories, and scoring completeness.

Features

• Category inference from product name and description text
• Auto-tag generation per category (beauty, fitness, electronics, fashion, home, food, toys, sports)
• Description generation from templates per category
• Price normalization (removes $, commas, converts to float)
• Field completeness scoring (weighted by field importance)
• Catalog health grade: A/B/C/D
• Issues report for products needing manual attention

Quick Start

from client import CatalogEnrichmentClient

client = CatalogEnrichmentClient()
result = client.enrich(
    products=[{"id":"P1","name":"Vitamin C Serum","price":35,"description":"","category":"","tags":[],"images":[]}],
)
print(result["catalog_health"])
for p in result["enriched_products"]:
    print(f"{p['name']}: {p['_completeness_score']}% complete | Changes: {p['_changes_made']}")

Installation

python example_usage.py  # No external dependencies

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Built by GenPark | alphaparkinc