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product-enrich

Tag product schedule rows with category, subcategory, color, material, and style metadata.

Updated Jun 16, 2026
Search Tags:#product classification#product enrichment#metadata tagging#AEC scheduling#FF&E management#schedule cleanup#heuristic inference
One-click install
npx skills add https://github.com/robikscube/SJ-skills-sandbox --skill product-enrich-robikscube
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-enrich
Source: https://github.com/robikscube/SJ-skills-sandbox/tree/main/Skill-List/alpaca-product/product-enrich
Command: npx skills add https://github.com/robikscube/SJ-skills-sandbox --skill product-enrich-robikscube

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the tedious, error-prone manual work of adding category, material, color, and style metadata to product schedule rows, saving hours of repetitive data entry for AEC teams managing FF&E and product inventories.

Core Features & Use Cases

  • Local Heuristic Enrichment: Infers product metadata using only local rules with no network calls, so it works in offline or restricted tester environments without extra package installations.
  • Multi-Format Input Support: Accepts CSV, JSON, or plain text product lists, making it easy to integrate into existing workflows after import, cleanup, or PDF parsing steps.
  • Uncertainty Flagging: Marks low-confidence enrichments with review flags, so users can verify suggestions before applying them to final schedules.
  • Use Case: For architecture, engineering, and construction teams, this Skill automatically tags imported product rows to speed up FF&E scheduling, product matching, and schedule filtering tasks.

Quick Start

Use the product-enrich skill to add category, material, color, and style tags to the product rows in your uploaded product schedule file.

Frequently Asked Questions about product-enrich

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

FAQPage Schema
How do I automatically add category, material, and style tags to product schedule rows?▼

You can automatically tag product schedule rows by running local heuristic enrichment on your imported product lists. This process infers missing category, subcategory, color, material, and style metadata directly from the input data without requiring network access.

Can I enrich FF&E product data from a CSV file offline?▼

Yes, you can enrich FF&E product data offline from CSV, JSON, or plain text files. The heuristic inference engine operates entirely locally, requiring no external dependencies or network connectivity to classify and tag your product inventory.

What is the best way to handle uncertain metadata enrichment for AEC product schedules?▼

The best way to handle uncertain metadata enrichment is to use confidence scoring with review flagging. The system automatically marks low-confidence heuristic inferences, allowing you to manually verify suggestions before applying them to final AEC schedules.

Does product enrichment work without installing external packages or API keys?▼

Yes, product enrichment works without external packages or API keys because it relies on deterministic local heuristic rules. It functions completely offline in restricted environments, eliminating the need for network calls or extra package installations during schedule cleanup.

How do I clean up imported product lists after PDF parsing for architecture schedules?▼

You can clean up imported product lists by feeding the parsed CSV, JSON, or text output directly into the heuristic enrichment process. This automatically infers missing classification tags, streamlining post-import schedule cleanup for architecture and engineering workflows.

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