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Product enrich

Skill AlpacaLabsLLC/skills-for-architects/skills/product-enrich

Claude Code skills for architecture, real estate, and workplace strategy. Type /skill-name and go.

Install
npx -y skills add AlpacaLabsLLC/skills-for-architects --skill product-enrich

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What its author says it does

Copied from the file, not written here

Enrich FF&E schedule rows with categories, colors, materials, and style tags. Use to tag, categorize, or fill those missing fields; not to research new products.

SKILL.md

5.4 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

/as:product-enrich — Product Enrichment

Takes product rows from the nearest project's product-library.csv or pasted data and proposes missing category, color, material, and style metadata.

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:

CSV file:

/as:product-enrich ./products.csv

Pasted data:

/as: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 product data includes the named Image URL field, use image analysis 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 the project library

Read ../../schema/product-schema.md and ../../schema/csv-conventions.md. Map enrichment only to canonical named fields: Category, Materials, Colors/Finishes, and appended Tags; place noncanonical subcategory detail in Notes. Do not overwrite a populated field unless the preview explicitly calls that out.

For multiple enriched rows, materialize the complete proposed 33-column CSV as a temporary or user-visible review file. Validate it, preview every material change and the target product-library.csv once, then use the single confirmation gate. After approval, invoke python3 "${CLAUDE_PLUGIN_ROOT}/skills/master-schedule/scripts/csv-library.py" import product --project <project-root> --source <review.csv> exactly once for one atomic replacement; never loop update. A genuinely single-record enrichment may use the same plugin-root helper's update command once with a uniquely matching stable field.

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

  • /as:product-spec-bulk-fetch — fetch specs first, then enrich the results
  • /as:product-data-cleanup — cleanup normalizes formatting, enrich adds metadata
  • /as:product-data-import — enriched products make better formatted schedules
  • /as:product-match — enriched tags help find better matches

What ships with it: 1 file

666 B alongside SKILL.md

Gives 0 of the 12 instructions most product growth skills give in ~1.2k tokens

Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-07

  • Read product marketing context before asking questionsin 24 of 728, across 18 files
  • Define the ideal customer profilein 21 of 728, across 3 files
  • Document a rollback plan before deploymentin 21 of 728, across 12 files
  • Analyze the codebase to understand the productin 19 of 728, across 1 file
  • Ask clarifying questions about the value propositionin 19 of 728, across 1 file
  • Search for companies matching the criteriain 19 of 728, across 1 file
  • Look for signals of immediate needin 19 of 728, across 1 file
  • Assign a fit score from one to tenin 19 of 728, across 1 file
  • Identify the target decision-maker rolein 19 of 728, across 1 file
  • Suggest a personalized contact strategyin 19 of 728, across 1 file
  • Provide conversation starters for outreachin 19 of 728, across 1 file
  • Format results in a scannable markdown templatein 19 of 728, across 1 file

Said here and by no other author read

  • accept product data in any format
  • infer missing fields for each product
  • use canonical vocabulary for categories
  • assign standard color names
  • specify primary materials comma-separated
  • assign descriptive style tags

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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