shopify-admin-agentic-product-jsonld-backfill: Coding Workflows for AI... | OpenAgentSkill

Overview

Backfill the structured product/variant fields that power Product JSON-LD — barcode (GTIN), SKU, vendor, product type, weight — so AI agents can quote exact, in-stock items instead of guessing.

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Purpose

AI shopping agents read a product's structured data (the fields Shopify themes emit as schema.org/Product JSON-LD) to confirm price, availability, and identity. Missing barcodes (GTIN), SKUs, vendor, or product type leave the listing ambiguous — so the agent skips it or recommends a competitor whose data is complete. This skill finds products/variants with those gaps and backfills them: vendor and product type at the product level, barcode/SKU at the variant level. Fixes the agentiq.report findings product-schema-jsonld, gtin-sku-pdp, and variant-metadata.

Prerequisites

Authenticated Shopify CLI session (shopify auth login --store <domain>)
Required API scopes: read_products, write_products

Parameters

All skills accept these universal parameters:

Parameter	Type	Required	Default	Description
store	string	yes	—	Store domain (e.g., mystore.myshopify.com)
format	string	no	human	Output format: `human` (default) or `json`
dry_run	bool	no	false	Preview mutations without executing

Skill-specific parameters:

Parameter	Type	Required	Default	Description
collection_id	string	no	—	Limit to a collection GID (else whole catalog)
tag	string	no	—	Limit to a product tag
set_vendor	string	no	—	Vendor to apply where missing (else only reports)
set_product_type	string	no	—	Product type to apply where missing
barcodes_csv	string	no	—	Path to a CSV of `sku,barcode` to map GTINs onto matching variants
fields	string	no	all	Comma list of fields to backfill: `vendor,product_type,barcode,sku`

Safety

⚠️ Step 3 (productUpdate) and Step 4 (productVariantsBulkUpdate) write live product/variant data. Barcodes and SKUs are matched from your barcodes_csv; a wrong mapping mislabels a product's identity to every agent. Always run dry_run: true first and verify the change set CSV. This skill never overwrites a field that already has a value — it only fills blanks.

Workflow Steps

OPERATION: products — query Inputs: first: 250, optional query: "tag:'<tag>'" or collection filter; fields vendor, productType, variants{ id sku barcode }; paginate until hasNextPage: false. Expected output: Products/variants with missing target fields.
COMPUTE (no API): build the change set — only blank fields, joined to barcodes_csv by SKU for barcodes. Emit the preview CSV.
OPERATION: productUpdate — mutation Inputs: per product { id, vendor?, productType? } (only where blank and a value is supplied). Expected output: Updated product; collect userErrors.
OPERATION: productVariantsBulkUpdate — mutation Inputs: per product productId + variants: [{ id, barcode?, inventoryItem: { sku? } }] for blank variant fields. Expected output: Updated variants; collect userErrors across batches.

GraphQL Operations

# products:query — validated against api_version 2025-01
query BackfillProducts($first: Int!, $after: String, $query: String) {
  products(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        title
        vendor
        productType
        variants(first: 100) {
          edges { node { id sku barcode } }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}

# productUpdate:mutation — validated against api_version 2025-01
mutation BackfillProductFields($input: ProductInput!) {
  productUpdate(input: $input) {
    product { id vendor productType }
    userErrors { field message }
  }
}

# productVariantsBulkUpdate:mutation — validated against api_version 2025-01
mutation BackfillVariantFields($productId: ID!, $variants: [ProductVariantsBulkInput!]!) {
  productVariantsBulkUpdate(productId: $productId, variants: $variants) {
    productVariants { id sku barcode }
    userErrors { field message }
  }
}

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: <skill name>                         ║
║  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
  <Metric label>:   <value>
  Errors:           0
  Output:           <filename or "none">
══════════════════════════════════════════════

For format: json, emit:

{
  "skill": "<skill-slug>",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "completed_at": "<ISO8601>",
  "dry_run": false,
  "steps": [
    {
      "step": 1,
      "operation": "<OperationName>",
      "type": "query",
      "params_summary": "<string>",
      "result_summary": "<string>",
      "skipped": false
    }
  ],
  "outcome": {
    "metric_key": 0,
    "errors": 0,
    "output_file": null
  }
}

Output Format

human: counts of products/variants updated per field + a CSV of every change (product, variant, field, old, new). json: { products_updated, variants_updated, by_field{...}, errors, output_file }.

Error Handling

Error	Cause	Recovery
`THROTTLED`	API rate limit	Wait 2s, retry up to 3 times
`userErrors` non-empty	Invalid barcode/SKU format or duplicate	Log message, skip that variant, continue
SKU not in CSV	No mapping supplied for that variant	Leave barcode blank, report it as still-missing

Best Practices

Run shopify-admin-agentic-readiness-audit first to size the gap, then dry_run: true here to review the exact change set.
Barcodes are GTIN/UPC/EAN — get them from your supplier, never invent them. A wrong GTIN is worse than a blank one.
This skill only fills blanks; to correct existing-but-wrong values use shopify-admin-bulk-price-adjustment-style targeted edits instead.
Pair with shopify-admin-agentic-metafields-setup — barcodes power JSON-LD identity, metafields power agent filtering; you usually want both.

View source ↗

File metadata

name: shopify-admin-agentic-product-jsonld-backfill
role: agentic
description: "Backfill the structured product/variant fields that power Product JSON-LD — barcode (GTIN), SKU, vendor, product type, weight — so AI agents can quote exact, in-stock items instead of guessing."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
  - products:query
  - productUpdate:mutation
  - productVariantsBulkUpdate:mutation
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
audit_signals:
  - product-schema-jsonld
  - gtin-sku-pdp
  - variant-metadata

View original text

---
name: shopify-admin-agentic-product-jsonld-backfill
role: agentic
description: "Backfill the structured product/variant fields that power Product JSON-LD — barcode (GTIN), SKU, vendor, product type, weight — so AI agents can quote exact, in-stock items instead of guessing."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
  - products:query
  - productUpdate:mutation
  - productVariantsBulkUpdate:mutation
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
audit_signals:
  - product-schema-jsonld
  - gtin-sku-pdp
  - variant-metadata
---

## Purpose
AI shopping agents read a product's structured data (the fields Shopify themes emit as `schema.org/Product` JSON-LD) to confirm price, availability, and identity. Missing barcodes (GTIN), SKUs, vendor, or product type leave the listing ambiguous — so the agent skips it or recommends a competitor whose data is complete. This skill finds products/variants with those gaps and backfills them: vendor and product type at the product level, barcode/SKU at the variant level. Fixes the agentiq.report findings `product-schema-jsonld`, `gtin-sku-pdp`, and `variant-metadata`.

## Prerequisites
- Authenticated Shopify CLI session (`shopify auth login --store <domain>`)
- Required API scopes: `read_products`, `write_products`

## Parameters
All skills accept these universal parameters:

| Parameter | Type   | Required | Default | Description |
|-----------|--------|----------|---------|-------------|
| store     | string | yes      | —       | Store domain (e.g., mystore.myshopify.com) |
| format    | string | no       | human   | Output format: `human` (default) or `json` |
| dry_run   | bool   | no       | false   | Preview mutations without executing |

Skill-specific parameters:

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| collection_id | string | no | — | Limit to a collection GID (else whole catalog) |
| tag | string | no | — | Limit to a product tag |
| set_vendor | string | no | — | Vendor to apply where missing (else only reports) |
| set_product_type | string | no | — | Product type to apply where missing |
| barcodes_csv | string | no | — | Path to a CSV of `sku,barcode` to map GTINs onto matching variants |
| fields | string | no | all | Comma list of fields to backfill: `vendor,product_type,barcode,sku` |

## Safety

> ⚠️ Step 3 (`productUpdate`) and Step 4 (`productVariantsBulkUpdate`) write live product/variant data. Barcodes and SKUs are matched from your `barcodes_csv`; a wrong mapping mislabels a product's identity to every agent. Always run `dry_run: true` first and verify the change set CSV. This skill never overwrites a field that already has a value — it only fills blanks.

## Workflow Steps

1. **OPERATION:** `products` — query
   **Inputs:** `first: 250`, optional `query: "tag:'<tag>'"` or collection filter; fields `vendor`, `productType`, `variants{ id sku barcode }`; paginate until `hasNextPage: false`.
   **Expected output:** Products/variants with missing target fields.

2. **COMPUTE (no API):** build the change set — only blank fields, joined to `barcodes_csv` by SKU for barcodes. Emit the preview CSV.

3. **OPERATION:** `productUpdate` — mutation
   **Inputs:** per product `{ id, vendor?, productType? }` (only where blank and a value is supplied).
   **Expected output:** Updated product; collect `userErrors`.

4. **OPERATION:** `productVariantsBulkUpdate` — mutation
   **Inputs:** per product `productId` + `variants: [{ id, barcode?, inventoryItem: { sku? } }]` for blank variant fields.
   **Expected output:** Updated variants; collect `userErrors` across batches.

## GraphQL Operations

```graphql
# products:query — validated against api_version 2025-01
query BackfillProducts($first: Int!, $after: String, $query: String) {
  products(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        title
        vendor
        productType
        variants(first: 100) {
          edges { node { id sku barcode } }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}
```

```graphql
# productUpdate:mutation — validated against api_version 2025-01
mutation BackfillProductFields($input: ProductInput!) {
  productUpdate(input: $input) {
    product { id vendor productType }
    userErrors { field message }
  }
}
```

```graphql
# productVariantsBulkUpdate:mutation — validated against api_version 2025-01
mutation BackfillVariantFields($productId: ID!, $variants: [ProductVariantsBulkInput!]!) {
  productVariantsBulkUpdate(productId: $productId, variants: $variants) {
    productVariants { id sku barcode }
    userErrors { field message }
  }
}
```

## Session Tracking

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

**On start**, emit:
```
╔══════════════════════════════════════════════╗
║  SKILL: <skill name>                         ║
║  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
  <Metric label>:   <value>
  Errors:           0
  Output:           <filename or "none">
══════════════════════════════════════════════
```

For `format: json`, emit:
```json
{
  "skill": "<skill-slug>",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "completed_at": "<ISO8601>",
  "dry_run": false,
  "steps": [
    {
      "step": 1,
      "operation": "<OperationName>",
      "type": "query",
      "params_summary": "<string>",
      "result_summary": "<string>",
      "skipped": false
    }
  ],
  "outcome": {
    "metric_key": 0,
    "errors": 0,
    "output_file": null
  }
}
```

## Output Format
`human`: counts of products/variants updated per field + a CSV of every change (`product, variant, field, old, new`). `json`: `{ products_updated, variants_updated, by_field{...}, errors, output_file }`.

## Error Handling
| Error | Cause | Recovery |
|-------|-------|----------|
| `THROTTLED` | API rate limit | Wait 2s, retry up to 3 times |
| `userErrors` non-empty | Invalid barcode/SKU format or duplicate | Log message, skip that variant, continue |
| SKU not in CSV | No mapping supplied for that variant | Leave barcode blank, report it as still-missing |

## Best Practices
- Run `shopify-admin-agentic-readiness-audit` first to size the gap, then `dry_run: true` here to review the exact change set.
- Barcodes are GTIN/UPC/EAN — get them from your supplier, never invent them. A wrong GTIN is worse than a blank one.
- This skill only fills blanks; to correct existing-but-wrong values use `shopify-admin-bulk-price-adjustment`-style targeted edits instead.
- Pair with `shopify-admin-agentic-metafields-setup` — barcodes power JSON-LD identity, metafields power agent filtering; you usually want both.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review

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Source & trust

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Aug 14, 2026
Registry updated: Sep 4, 2026
Instruction path: skills/agentic/shopify-admin-agentic-product-jsonld-backfill/SKILL.md @ 6765cb4f436b

Version reported in registry metadata; check source releases before relying on it.

Quality

69/100

Promising

Trust

66/100

Sandbox only

Audit

79/100

Needs review

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Open install API LLM text format Open manifest Auto-resolve Plan

More details

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      "repository": "https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-product-jsonld-backfill",
      "install": "npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill",
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      "permissionSurface": "shell or command execution, filesystem or document access",
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      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: shell or command execution, filesystem or document access",
      "Stars/forks activity: 182 stars, 18 forks; issue activity unavailable in current metadata",
      "Permission surface: shell or command execution, filesystem or document access"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 69,
    "label": "Promising"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Coding agents",
    "maintenance": "25d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "Financial research output is not financial advice; require human review before any live investment decision.",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use shopify-admin-agentic-product-jsonld-backfill in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 74/100 Strong shortlist",
      "Audit: 79/100 Needs review",
      "Safety: 35/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "40rty-ai-shopify-admin-agentic-product-jsonld-backfill (shopify-admin-agentic-product-jsonld-backfill)",
      "install_command": "npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "40rty-ai-shopify-admin-agentic-product-jsonld-backfill",
      "task": "Use shopify-admin-agentic-product-jsonld-backfill in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/40rty-ai-shopify-admin-agentic-product-jsonld-backfill",
    "api": "https://www.openagentskill.com/api/agent/skills/40rty-ai-shopify-admin-agentic-product-jsonld-backfill",
    "audit": "https://www.openagentskill.com/skills/40rty-ai-shopify-admin-agentic-product-jsonld-backfill/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=40rty-ai-shopify-admin-agentic-product-jsonld-backfill&task=Use%20shopify-admin-agentic-product-jsonld-backfill%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20shopify-admin-agentic-product-jsonld-backfill%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20shopify-admin-agentic-product-jsonld-backfill%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/40rty-ai-shopify-admin-agentic-product-jsonld-backfill/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/40rty-ai-shopify-admin-agentic-product-jsonld-backfill"
  }
}

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Creator: 40RTY-ai
Source: 40RTY-ai/shopify-admin-skills
Indexed by: OpenAgentSkill community index

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