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

ffe-schedule

Generate standardized 33-column FF&E schedules from unstructured product data.

304|65|Updated Mar 2, 2026
Search Tags:#design#specifications#csv#schedule#google-sheets#data-enrichment#ffe
One-click install
npx skills add https://github.com/AlpacaLabsLLC/skills-for-architects --skill ffe-schedule
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ffe-schedule
Source: https://github.com/AlpacaLabsLLC/skills-for-architects/tree/main/plugins/06-materials-research/skills/ffe-schedule
Command: npx skills add https://github.com/AlpacaLabsLLC/skills-for-architects --skill ffe-schedule

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Convert unstructured FF&E product data (notes, CSVs, pasted lists) into a standardized FF&E schedule that aligns with the 33-column master schema, reducing manual drafting time and errors.

Core Features & Use Cases

  • Parses raw data into key fields (product name, brand, quantity, price, materials, finish) and enriches with reference data.
  • Maps items to canonical categories, assigns sequential item numbers by category, and computes extended pricing with subtotals.
  • Outputs formatted schedules in Markdown, CSV, or Google Sheets, ready for procurement and client delivery.

Quick Start

Provide your raw product data (notes, CSV, or pasted lists) and the skill will generate a ready-to-use FF&E schedule.

Frequently Asked Questions about ffe-schedule

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

FAQPage Schema
How do I create an FF&E schedule from raw product lists and CSV data?▼

To create an FF&E schedule, the skill parses raw product lists, CSV files, or notes into a standardized 33-column master schema, mapping items to canonical categories and calculating extended pricing with subtotals.

What is the best way to automate FF&E specification data enrichment for Google Sheets?▼

Automating FF&E specification data enrichment involves parsing unstructured product details like brand, quantity, and materials, then outputting the enriched schedule directly to Google Sheets, CSV, or Markdown formats.

Can I generate a standardized FF&E schedule from unstructured notes for interior design procurement?▼

Yes, you can generate a standardized FF&E schedule from unstructured notes by extracting key fields such as product name, finish, and price, then formatting them into a 33-column schema ready for procurement delivery.

Does this FF&E schedule generator support category-aware item numbering and subtotals?▼

The FF&E schedule generator supports category-aware item numbering by mapping items to canonical categories and assigning sequential numbers, while also computing extended pricing and subtotals for each category.

What file formats can I export my FF&E schedule to after processing raw product data?▼

After processing raw product data, you can export your FF&E schedule to Markdown, CSV, or Google Sheets, ensuring the output adheres to the 33-column master schema for client delivery and procurement.

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
AlpacaLabsLLCAlpacaLabsLLC
304

product-spec-bulk-fetch

Extract FF&E product specifications from URLs into a 33-column Google Sheet or CSV.

Official
Advanced
dlantsdlants
7

pkb

Index local Markdown files and retrieve semantic search results with contextual information.

Community
Advanced
AlpacaLabsLLCAlpacaLabsLLC
304

product-enrich

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

Official
Advanced