shopify-admin-product-lifecycle-manager
Bulk transition products through DRAFT → ACTIVE → ARCHIVED status for seasonal launches and sunsetting.
What this skill does
## Purpose
Queries products matching a tag, vendor, collection, or status filter and bulk-transitions them to a target status (DRAFT, ACTIVE, or ARCHIVED). Used for seasonal launches (DRAFT → ACTIVE), end-of-season sunsetting (ACTIVE → ARCHIVED), and pre-launch staging (creating as DRAFT, activating on a date).
## Prerequisites
- Authenticated Shopify CLI session: `shopify store auth --store <domain> --scopes read_products,write_products`
- API scopes: `read_products`, `write_products`
## Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| filter | string | yes | — | Product filter query (e.g., `tag:summer-2026`, `vendor:Nike`, `status:draft`) |
| target_status | string | yes | — | Target status: `ACTIVE`, `DRAFT`, or `ARCHIVED` |
| dry_run | bool | no | true | Preview products without executing mutations |
| format | string | no | human | Output format: `human` or `json` |
## Safety
> ⚠️ ARCHIVED products are hidden from all sales channels and cannot be purchased. ACTIVE products are immediately visible to customers. Run with `dry_run: true` to review the product list before committing — especially for ARCHIVED transitions which are hard to reverse in bulk.
## Workflow Steps
1. **OPERATION:** `products` — query
**Inputs:** `query: <filter>`, `first: 250`, pagination cursor
**Expected output:** Products with `id`, `title`, `status`, `tags`; paginate until `hasNextPage: false`
2. Filter to products NOT already in `target_status` — skip those already correct
3. **OPERATION:** `productUpdate` — mutation
**Inputs:** `id: <product_id>`, `status: <target_status>`
**Expected output:** `product { id, title, status }`, `userErrors`
## GraphQL Operations
```graphql
# products:query — validated against api_version 2025-01
query ProductsByFilter($query: String!, $after: String) {
products(first: 250, after: $after, query: $query) {
edges {
node {
id
title
status
vendor
tags
publishedAt
}
}
pageInfo {
hasNextPage
endCursor
}
}
}
```
```graphql
# productUpdate:mutation — validated against api_version 2025-01
mutation ProductUpdateStatus($input: ProductInput!) {
productUpdate(input: $input) {
product {
id
title
status
}
userErrors {
field
message
}
}
}
```
## Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
```
╔══════════════════════════════════════════════╗
║ SKILL: Product Lifecycle Manager ║
║ 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>
```
If `dry_run: true`, prefix every mutation step with `[DRY RUN]` and do not execute it.
**On completion**, emit:
For `format: human` (default):
```
══════════════════════════════════════════════
OUTCOME SUMMARY
Products matched: <n>
Already at target: <n> (skipped)
Status updated: <n>
Errors: <n>
Output: lifecycle_update_<date>.csv
══════════════════════════════════════════════
```
For `format: json`, emit:
```json
{
"skill": "product-lifecycle-manager",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": true,
"filter": "<query>",
"target_status": "ACTIVE",
"outcome": {
"matched": 0,
"skipped_already_correct": 0,
"updated": 0,
"errors": 0,
"output_file": "lifecycle_update_<date>.csv"
}
}
```
## Output Format
CSV file `lifecycle_update_<YYYY-MM-DD>.csv` with columns:
`product_id`, `title`, `previous_status`, `new_status`, `vendor`, `tags`
## Error Handling
| Error | Cause | Recovery |
|-------|-------|----------|
| `THROTTLED` | API rate limit exceeded | Wait 2 seconds, retry up to 3 times |
| `userErrors` on productUpdate | Product locked or invalid state | Log error, skip product, continue |
| No products match filter | Filter too narrow | Exit with 0 matches, suggest broadening filter |
## Best Practices
- Use tags to mark seasonal batches before running (e.g., tag products with `launch:2026-05` before activating them) so the filter is precise.
- ARCHIVED status removes products from all channels including the storefront, POS, and buy buttons — confirm this is the intent before running at scale.
- For large catalogs (500+ products), rate limiting will slow execution — the skill retries automatically but large batches may take several minutes.
- Pair with `product-data-completeness-score` before activating DRAFT products to ensure they have all required fields.
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