/catalog-search
Translate fuzzy designer language into a ranked FF&E spec list.
Catalog Search is the front door to the Canoa FF&E dataset. A designer drops a natural-language query into Claude (or a Sheet template) and gets a ranked, structured list of real products that match — not a hallucinated list, not a generic catalog scroll.
Why this exists
Conversational catalog search is the killer use case for AI over a curated FF&E dataset — translating designer-shaped language (“a warm-toned lounge chair under $1k that ships fast, GREENGUARD if possible”) into structured filters, then returning real products. It’s what the original Canoa designer assistant proved was the highest-value AI surface. This skill ports that pattern out of the dead canvas and into the tools designers already work in.
Typical queries
- “Three task chairs around $600, fabric, mid-century-adjacent, in stock”
- “Coffee tables for a clinic waiting room, recyclable, under $400”
- “What’s the cheapest GREENGUARD-certified lounge chair we have?”
Distribution
- Claude skill — interactive: ask, refine, re-ask in the same thread.
- Sheet template — drop the dataset into a tab; formula columns to filter and rank for one-off lookups.
Status
Planned — pending dataset export from the Canoa Postgres + a one-time Parquet/SQLite snapshot. Source materials in ~/Documents/Canoa/dataset-extraction-plan.md.
Install
/catalog-search is part of
the Canoa agent.
Copy the install prompt below and paste it into Claude — it walks you through install,
sets up the master schedule Sheet, and brings the rest of the toolkit with it.
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