product-image-audit

Installation
SKILL.md

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

Parameter Type Required Default Description
store string yes Store domain (e.g., mystore.myshopify.com)
min_images integer no 1 Flag products with fewer than this many images
check_variants bool no true Also flag variants with no assigned image
status_filter string no active Product status to scan: active, draft, or all
format string no human Output format: human or json

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

Error Cause Recovery
THROTTLED API rate limit exceeded Wait 2 seconds, retry up to 3 times
No products match filter Empty catalog or wrong status filter Exit with 0 results

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.
Related skills
Installs
1
GitHub Stars
133
First Seen
Apr 12, 2026