product-enrich

Name: product-enrich
Availability: InStock
Author: AlpacaLabsLLC

Infer and standardize FF&E product category, color, material, and style tags from CSV or Google Sheets inputs.

304|65|Updated Mar 2, 2026

Search Tags:#metadata #color #tagging #material #enrich #product-catalog #ff&e

Ready to run

npx skills add https://github.com/AlpacaLabsLLC/skills-for-architects --skill product-enrich

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: product-enrich
Source: https://github.com/AlpacaLabsLLC/skills-for-architects/tree/main/plugins/06-materials-research/skills/product-enrich
Command: npx skills add https://github.com/AlpacaLabsLLC/skills-for-architects --skill product-enrich

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

FF&E product catalogs often suffer from inconsistent metadata (category, subcategory, color, material, and style tags), making it hard to search, compare, and schedule.

Core Features & Use Cases

Infers and standardizes Category, Subcategory, Primary Color, Material, and Style Tags for each product.
Accepts inputs from CSV files, Google Sheets, or pasted data and outputs a consistent metadata schema.
Integrates with downstream workflows like schedules, catalogs, and BIM/space planning.

Quick Start

Provide a list of products in a sheet or pasted data, and the Skill will enrich metadata and tags.

Frequently Asked Questions about product-enrich

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I standardize inconsistent FF&E product metadata from a CSV?▼

To standardize FF&E product metadata from a CSV, the Skill infers missing category, subcategory, color, material, and style tags to produce a consistent output schema. It handles inconsistent naming and maps outputs to a canonical category vocabulary.

What is FF&E product data enrichment and why is it needed?▼

FF&E product data enrichment is the process of inferring and standardizing category, color, material, and style tags for product catalogs. It is needed because inconsistent metadata makes it hard to search, compare, and schedule products.

Can I use Google Sheets to bulk enrich product catalog tags?▼

Yes, you can use Google Sheets to bulk enrich product catalog tags. The Skill accepts inputs directly from Google Sheets, CSV files, or pasted data to infer and standardize metadata for each product.

Does the metadata enrichment handle missing fields and inconsistent naming?▼

Yes, the metadata enrichment handles missing fields and inconsistent naming. It automatically infers missing product attributes and maps the varied inputs to a standardized canonical category vocabulary.