product-enrich
Auto-tag FF&E products with categories, colors, materials, and style tags using AI. Use when the user asks to "enrich", "tag", or "categorize" products, or to fill in missing category, material, or style columns in the schedule.
Profile →npx skills add majiayu000/claude-skill-registry --skill product-enrich --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /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 ./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 Cha
- When to Use
- Step 1: Accept Input
- Step 2: Analyze Each Product
- Category
- Subcategory
- Primary Color
- Material
- Style Tags
- Image Analysis
- Step 3: Present Preview
- Step 4: Apply
- To Google Sheet
- To CSV
- To conversation
What does the product-enrich skill do?
Auto-tag FF&E products with categories, colors, materials, and style tags using AI. Use when the user asks to "enrich", "tag", or "categorize" products, or to fill in missing category, material, or style columns in the schedule.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill product-enrich --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.