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Auto-tag FF&E products with categories, colors, materials, and style tags using AI.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Look up ACRIS property transaction records for any NYC property — deeds, mortgages, satisfactions, liens, and ownership history. Use when the user asks who owns a building, when it last sold or for how much, or whether there are mortgages or liens against it. NYC only; for permits or violations use the DOB skills.
Look up Board of Standards and Appeals (BSA) variances and special permits for any NYC property. Use when checking whether a lot carries zoning relief — variances, special permits, appeals — that modifies its as-of-right envelope. NYC only; for base zoning controls use /zoning-analysis-nyc.
Look up DOB permit and job filing history for any NYC building — new-building, alteration, and demolition filings with status and dates. Use when the user asks what work was filed or permitted at an address, or to gauge renovation history during due diligence. NYC only; for open violations use /nyc-dob-violations.
Look up open and resolved DOB and ECB violations for any NYC building, with class, status, and penalty detail. Use when the user asks whether a building has violations, stop-work orders, or outstanding ECB penalties. NYC only; for housing-code violations use /nyc-hpd.
Look up HPD violations, complaints, and building registration for residential buildings.
Check if a NYC building is landmarked or in a historic district using LPC data.
| name | product-enrich |
| description | Auto-tag FF&E products with categories, colors, materials, and style tags using AI. |
| allowed-tools | ["Read","Write","Edit","Bash","Glob","Grep","AskUserQuestion","mcp__google-sheets__get_sheet_data","mcp__google-sheets__update_cells","mcp__google-sheets__list_sheets"] |
Takes a product list with basic info (name + brand) and fills in missing metadata — category, subcategory, primary color, material, and style tags — using AI. Works on CSV files, Google Sheets, or pasted data.
Accept product data in any format:
Google Sheet ID:
/product-enrich 1FMScYW9guezOWc_m4ClTQxxFIpS6TNRr373R-MJGzgE
CSV file:
/product-enrich ~/Documents/project/products.csv
Pasted data:
/product-enrich
Eames Lounge Chair, Herman Miller
Saarinen Tulip Table, Knoll
PH 5 Pendant, Louis Poulsen
Togo Sofa, Ligne Roset
For each product, infer the following fields:
Map to the canonical vocabulary (22 terms) defined in ../../schema/product-schema.md.
More specific classification within the category:
The dominant color of the product as typically sold:
Primary materials, comma-separated:
2-4 descriptive tags from:
If the product data includes an image URL (column AC in the master schema), use Claude vision to verify and refine the enrichment. The image may reveal:
Show a preview of the enrichment before applying:
## Product Enrichment Preview
| Product | Brand | Category | Subcategory | Color | Material | Style Tags |
|---------|-------|----------|-------------|-------|----------|------------|
| Eames Lounge Chair | Herman Miller | Chair | Lounge Chair | Walnut/Black | Molded plywood, Leather | Mid-Century Modern, Iconic, Residential |
| Saarinen Tulip Table | Knoll | Table | Dining Table | White | Marble, Aluminum | Mid-Century Modern, Sculptural, Organic |
| PH 5 Pendant | Louis Poulsen | Light | Pendant | White | Aluminum | Scandinavian, Classic, Iconic |
| Togo Sofa | Ligne Roset | Sofa | Sofa | Brown | Fabric | Contemporary, Organic, Sculptural |
4 products enriched. Apply? (y/n)
Flag any products where enrichment is uncertain:
⚠ "Custom Reception Desk" — unknown product, category set to Desk but verify
Write enriched fields to the master 33-column schema:
Do NOT overwrite existing values unless the field is empty or the user explicitly asks to overwrite.
Add new columns if they don't exist: Category, Subcategory, Primary Color, Material, Style Tags. Save as {original-name}-enriched.csv.
Output the enriched table in markdown.
✓ Enriched 4 products
Categories: 4 assigned (0 already had values)
Colors: 4 assigned
Materials: 4 assigned
Style tags: 14 total tags across 4 products
Uncertain: 1 (flagged for review)
/product-spec-bulk-fetch — fetch specs first, then enrich the results/product-data-cleanup — cleanup normalizes formatting, enrich adds metadata/product-data-import — enriched products make better formatted schedules/product-match — enriched tags help find better matches