Shopify Admin Product Image Audit

Purpose

Scans all active products and their variants for missing or insufficient images. Flags products with zero images, variants with no assigned image, and products below a minimum image count threshold. Read-only — no mutations.

Prerequisites

• Authenticated Shopify CLI session: shopify store auth --store <domain> --scopes read_products
• API scopes: read_products

Parameters

Safety

ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.

Workflow Steps

1. OPERATION: products — query Inputs: query: "status:<status_filter>", first: 250, select images, variants { image }, pagination cursor Expected output: Products with image counts and variant image assignments; paginate until hasNextPage: false

2. Flag products: images.count < min_images OR images.count == 0

3. If check_variants: flag variants where image is null

GraphQL Operations

# products:query — validated against api_version 2025-01
query ProductImageAudit($query: String!, $after: String) {
  products(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        title
        handle
        status
        images(first: 10) {
          edges {
            node {
              id
              url
              altText
            }
          }
        }
        variants(first: 50) {
          edges {
            node {
              id
              title
              sku
              image {
                id
                url
              }
            }
          }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Session Tracking

Claude MUST emit the following output at each stage. This is mandatory.

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Product Image Audit                  ║
║  Store: <store domain>                       ║
║  Started: <YYYY-MM-DD HH:MM UTC>             ║
╚══════════════════════════════════════════════╝

After each step, emit:

[N/TOTAL] <QUERY|MUTATION>  <OperationName>
          → Params: <brief summary of key inputs>
          → Result: <count or outcome>

On completion, emit:

For format: human (default):

══════════════════════════════════════════════
PRODUCT IMAGE AUDIT
  Products scanned:           <n>
  Missing all images:         <n>
  Below min (<min_images>):   <n>
  Variants missing image:     <n>

  Products needing images:
    "<title>" — 0 images
    "<title>" — 1 image (below min <n>)
  Output: image_audit_<date>.csv
══════════════════════════════════════════════

For format: json, emit:

{
  "skill": "product-image-audit",
  "store": "<domain>",
  "min_images": 1,
  "products_scanned": 0,
  "missing_all_images": 0,
  "below_minimum": 0,
  "variants_missing_image": 0,
  "output_file": "image_audit_<date>.csv"
}

Output Format

CSV file image_audit_<YYYY-MM-DD>.csv with columns: product_id, product_title, handle, image_count, issue, variant_id, variant_sku, variant_has_image

Error Handling

Best Practices

• Products with zero images cannot be sold on most sales channels (Google Shopping, Meta, etc.) — prioritize these as urgent.
• For apparel or products with color/size variants, set min_images: 3 to ensure at least one front, back, and lifestyle shot per product.
• Run after bulk product imports to catch images that failed to upload in the import batch.
• Pair with product-data-completeness-score for a single comprehensive catalog quality report.