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
| 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
-
OPERATION:
products— query Inputs:query: "status:<status_filter>",first: 250, selectimages,variants { image }, pagination cursor Expected output: Products with image counts and variant image assignments; paginate untilhasNextPage: false -
Flag products:
images.count < min_imagesORimages.count == 0 -
If
check_variants: flag variants whereimageis 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: 3to 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-scorefor a single comprehensive catalog quality report.
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