skills.rest
AlpacaLabsLLC
AlpacaLabsLLCOFFICIAL
Explore all skills by this author →
GitHub

product-enrich

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
One-click install
npx skills add https://github.com/AlpacaLabsLLC/skills-for-architects --skill product-enrich
Or copy as Structured Prompt for Agent▼
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.

Related Skills

Explore More Design & Creative Skills→
robikscuberobikscube

product-data-import

Convert unstructured FF&E product notes, CSV files, and JSON data into structured schedule entries.

Community
Intermediate
robikscuberobikscube

product-research

Extracts FF&E constraints from product briefs and generates JSON research plans and candidate schemas.

Community
Intermediate
El3tar-cmdEl3tar-cmd
18

branding-generator

Interview clients and generate three distinct brand direction kits.

Community
Advanced
FelipePepeFelipePepe

xlsx

Automate Excel workbook processing, editing, cleaning, and converting spreadsheet data.

Community
Advanced