product-image-processor

# /product-image-processor — Product Image Processor Download product images from a Google Sheet, normalize sizing, and remove backgrounds. Saves output at each processing stage. Works with the **master Google Sheet** — the 33-column schema defined in `../../schema/product-schema.md`. Image URLs are in column AC, product names in column E. Read `../../schema/sheet-conventions.md` for CRUD patterns with MCP tools. ## Step 1: Get Input If no arguments provided, ask the user: 1. **Spreadsheet ID** — the Google Sheets ID (from the URL: `docs.google.com/spreadsheets/d/{ID}/...`). 2. **Image URL column** — which column contains image URLs (default: `AC` in the master schema, or the user can specify) 3. **Name column** (optional) — which column has product names for file naming (default: `E` in the master schema). If not provided, derive names from the image URL/filename. 4. **Output location** — where to save the images. Suggest `./product-images-YYYY-MM-DD/` as default but let the user pick any path. 5. **Header row** — whether row 1 is a header (default: yes, row 2 in master schema) ## Step 2: Read URLs from Google Sheet Use `mcp__google-sheets__list_sheets` to inspect the sheet, then `mcp__google-sheets__get_sheet_data` to read the image URL column and optional name column. Build a list of `{ index, url, name }` entries. Skip empty rows. ## Step 3: Create Output Folders Create the output directory at the user's chosen path with 3 subfolders: ``` <output-path>/ ├── orig...