Genesis GuideE-commerce · AI
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Product Data Completeness Score

Score how complete each product is on description, images and metadata.

BeginnerAPI 2025-01

Command

bash
shopify-admin-skills:product-data-completeness-score store=your-store.myshopify.com
### name Product Data Completeness Score — 0–100 Rating per SKU ### oneLiner Scores every active product on data completeness and pinpoints exactly which fields are holding down the rating. ### whenToUse - Before activating DRAFT products, to confirm they have a description, images, and SEO fields filled in. - After importing a catalog from a new supplier, to scope the depth of data gaps immediately. - Monthly, to track catalog quality trends and measure the impact of a content sprint. ### howToRun ``` Run skill: shopify-admin-product-data-completeness-score Store: yourstore.myshopify.com status_filter: active required_metafields: ["custom.material"] ``` ### whatYouGet A CSV file `completeness_YYYY-MM-DD.csv` with columns: `product_id`, `title`, `score`, `has_description`, `image_count`, `has_seo_title`, `has_seo_description`, `has_barcode`, `has_cost`, `has_weight`, `missing_metafields`. Products scoring below 50 are missing foundational content (description or images) and should be fixed before activation. Configure `required_metafields` for your store's specific needs — for example `custom.material` for apparel. ### polishContext ### safetyNote

Bazuje na open-source 40RTY-ai/shopify-admin-skills (MIT), rozszerzone o kontekst polskiego rynku przez Dawida Gaca.

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