Install
$ agentstack add skill-alpacalabsllc-skills-for-architects-product-enrich ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
/product-enrich — Product Enrichment
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.
When to Use
- After a bulk import where products are missing categories or tags
- When a designer clips products quickly without filling in details
- To standardize metadata across products from different sources
- Before generating an FF&E schedule (enriched data makes better schedules)
Step 1: Accept Input
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
Step 2: Analyze Each Product
For each product, infer the following fields:
Category
Map to the canonical vocabulary (22 terms) defined in ../../schema/product-schema.md.
Subcategory
More specific classification within the category:
- Chair → Task Chair, Lounge Chair, Dining Chair, Side Chair, Stool, Bench
- Table → Dining Table, Coffee Table, Side Table, Console Table, Conference Table
- Light → Pendant, Floor Lamp, Table Lamp, Wall Sconce, Ceiling, Task Light, Chandelier
- Sofa → Sofa, Sectional, Loveseat, Daybed, Settee
- Storage → Credenza, Bookcase, Filing Cabinet, Wardrobe, Sideboard, Dresser
- Desk → Writing Desk, Executive Desk, Standing Desk, Workstation
Primary Color
The dominant color of the product as typically sold:
- Use standard color names: Black, White, Gray, Brown, Beige, Navy, Blue, Green, Red, Orange, Yellow, Pink, Purple, Natural, Walnut, Oak, Teak, Chrome, Brass, Copper, Multi
Material
Primary materials, comma-separated:
- Wood (specify type if known: Walnut, Oak, Maple, Teak, Birch, Ash, Beech)
- Metal (specify: Steel, Aluminum, Brass, Chrome, Iron, Copper)
- Upholstery (specify: Leather, Fabric, Velvet, Bouclé, Mohair, Linen, Wool)
- Other: Glass, Marble, Concrete, Ceramic, Plastic, Fiberglass, Rattan, Cane, Acrylic
Style Tags
2-4 descriptive tags from:
- Period/movement: Mid-Century Modern, Art Deco, Bauhaus, Scandinavian, Japanese, Industrial, Contemporary, Traditional, Minimalist, Postmodern, Memphis
- Character: Organic, Geometric, Sculptural, Modular, Stackable, Compact, Statement, Classic, Iconic
- Context: Residential, Contract, Hospitality, Healthcare, Education, Outdoor
Image Analysis
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:
- Actual color (not just what the name suggests)
- Material details not in the product name
- Style characteristics
Step 3: Present Preview
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
Step 4: Apply
To Google Sheet
Write enriched fields to the master 33-column schema:
- Column A (Category) — enriched category
- Column R (Materials) — enriched materials
- Column S (Colors/Finishes) — enriched color
- Column AD (Tags) — enriched style tags, appended to existing tags
Do NOT overwrite existing values unless the field is empty or the user explicitly asks to overwrite.
To CSV
Add new columns if they don't exist: Category, Subcategory, Primary Color, Material, Style Tags. Save as {original-name}-enriched.csv.
To conversation
Output the enriched table in markdown.
Step 5: Summary
✓ 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)
Pairs With
/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
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: AlpacaLabsLLC
- Source: AlpacaLabsLLC/skills-for-architects
- License: MIT
- Homepage: https://alpa.llc/skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.