Agent skill

Shopify Admin Agentic Product Jsonld Backfill

by 40RTY-ai in 40RTY-ai/shopify-admin-skills

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.

MITAuto-check passedMarketing & SEO

Install Shopify Admin Agentic Product Jsonld Backfill

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-agentic-product-jsonld-backfill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agentic/shopify-admin-agentic-product-jsonld-backfill .claude/skills/shopify-admin-agentic-product-jsonld-backfill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "shopify-admin-agentic-product-jsonld-backfill" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-product-jsonld-backfill into .claude/skills/shopify-admin-agentic-product-jsonld-backfill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-product-jsonld-backfill", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-product-jsonld-backfill

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-agentic-product-jsonld-backfill --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agentic/shopify-admin-agentic-product-jsonld-backfill .agents/skills/shopify-admin-agentic-product-jsonld-backfill && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "shopify-admin-agentic-product-jsonld-backfill" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-product-jsonld-backfill into .agents/skills/shopify-admin-agentic-product-jsonld-backfill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-product-jsonld-backfill", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-agentic-product-jsonld-backfill --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agentic/shopify-admin-agentic-product-jsonld-backfill .cursor/skills/shopify-admin-agentic-product-jsonld-backfill && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "shopify-admin-agentic-product-jsonld-backfill" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-product-jsonld-backfill into .cursor/skills/shopify-admin-agentic-product-jsonld-backfill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-product-jsonld-backfill", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/40RTY-ai/shopify-admin-skills.git --path skills/agentic/shopify-admin-agentic-product-jsonld-backfill

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-agentic-product-jsonld-backfill --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agentic/shopify-admin-agentic-product-jsonld-backfill .gemini/skills/shopify-admin-agentic-product-jsonld-backfill && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "shopify-admin-agentic-product-jsonld-backfill" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-product-jsonld-backfill into .gemini/skills/shopify-admin-agentic-product-jsonld-backfill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-product-jsonld-backfill", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-agentic-product-jsonld-backfill

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agentic/shopify-admin-agentic-product-jsonld-backfill .github/skills/shopify-admin-agentic-product-jsonld-backfill && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "shopify-admin-agentic-product-jsonld-backfill" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-product-jsonld-backfill into .github/skills/shopify-admin-agentic-product-jsonld-backfill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-product-jsonld-backfill", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-agentic-product-jsonld-backfill --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agentic/shopify-admin-agentic-product-jsonld-backfill .opencode/skills/shopify-admin-agentic-product-jsonld-backfill && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "shopify-admin-agentic-product-jsonld-backfill" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-product-jsonld-backfill into .opencode/skills/shopify-admin-agentic-product-jsonld-backfill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-product-jsonld-backfill", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: shopify-admin-agentic-product-jsonld-backfill
GitHub stars: 194
Token cost: ~1.8k tokens
SKILL.md length: 551 words
Files: 1
Skills in repo: 116
Repo updated: Aug 14, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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.

Works in 4 steps: OPERATION: products — query → COMPUTE (no API): build the change set —… → OPERATION: productUpdate — mutation → …
Tasks that involve Schema markup
SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 6 more sections
Calls shopify

What it does

Shopify Admin Agentic Product Jsonld Backfill is an agent skill from 40RTY-ai/shopify-admin-skills. 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.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Claude Code, Cursor, Codex, Gemini CLI

It sits in Marketing & SEO, covering Schema markup. It works with Shopify. The repository describes itself as: Community-maintained AI agent skills for operating Shopify stores — workflows, optimization, reports and more. The licence is MIT.

When your agent uses it

Tasks that involve Schema markup

Example prompts

“/shopify-admin-agentic-product-jsonld-backfill”

Requirements

Compatibility (from SKILL.md): Claude Code, Cursor, Codex, Gemini CLI

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

OPERATION: products — query
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
OPERATION: productVariantsBulkUpdate — mutation

What it can do on your machine

Read from SKILL.md and the folder at commit 6765cb4. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- shopify
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Claude Code, Cursor, Codex, Gemini CLI
From compatibility in the SKILL.md frontmatter.

Context cost

Shopify Admin Agentic Product Jsonld Backfill loads about 1.8k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 551 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~60
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from 40RTY-ai/shopify-admin-skills at commit 6765cb4, republished under its MIT licence (© 40RTY-ai). 551 words, ~1,812 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-agentic-product-jsonld-backfill/SKILL.md (or your agent's skills folder).

name: shopify-admin-agentic-product-jsonld-backfill
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.
compatibility: Claude Code, Cursor, Codex, Gemini CLI
role: agentic
toolkit: shopify-admin, shopify-admin-execution
api_version: 2025-01
graphql_operations: products:query, productUpdate:mutation, productVariantsBulkUpdate:mutation
status: stable
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

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.

Show full SKILL.md (188 more words)Show less

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.

Files

Just SKILL.md in skills/agentic/shopify-admin-agentic-product-jsonld-backfill of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Agentic Product Jsonld Backfill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Works with

Shopify

Questions about Shopify Admin Agentic Product Jsonld Backfill

What does Shopify Admin Agentic Product Jsonld Backfill do?

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. Shopify Admin Agentic Product Jsonld Backfill is an agent skill from 40RTY-ai/shopify-admin-skills. 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.

When should I use Shopify Admin Agentic Product Jsonld Backfill?

Shopify Admin Agentic Product Jsonld Backfill fits situations like: tasks that involve Schema markup.

How do I install Shopify Admin Agentic Product Jsonld Backfill in Claude Code?

Run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill -a claude-code`. Or copy the skill folder (skills/agentic/shopify-admin-agentic-product-jsonld-backfill in 40RTY-ai/shopify-admin-skills) into .claude/skills/shopify-admin-agentic-product-jsonld-backfill in your project. Claude Code loads it when a task matches its description.

How do I install Shopify Admin Agentic Product Jsonld Backfill in Codex?

Run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill -a codex`. Or copy the skill folder (skills/agentic/shopify-admin-agentic-product-jsonld-backfill in 40RTY-ai/shopify-admin-skills) into .agents/skills/shopify-admin-agentic-product-jsonld-backfill in your project. Codex loads it when a task matches its description.

Can I use Shopify Admin Agentic Product Jsonld Backfill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-jsonld-backfill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shopify-admin-agentic-product-jsonld-backfill, .gemini/skills/shopify-admin-agentic-product-jsonld-backfill, .github/skills/shopify-admin-agentic-product-jsonld-backfill and .opencode/skills/shopify-admin-agentic-product-jsonld-backfill in your project.

What does Shopify Admin Agentic Product Jsonld Backfill need to run?

Going by SKILL.md and its folder, Shopify Admin Agentic Product Jsonld Backfill needs the command-line tools its instructions call (shopify). Compatibility (from SKILL.md): Claude Code, Cursor, Codex, Gemini CLI.

Does Shopify Admin Agentic Product Jsonld Backfill access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Shopify Admin Agentic Product Jsonld Backfill safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Shopify Admin Agentic Product Jsonld Backfill use?

Shopify Admin Agentic Product Jsonld Backfill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Shopify Admin Agentic Product Jsonld Backfill use?

About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Shopify Admin Agentic Product Jsonld Backfill?

Skills that share tags, products or a category with Shopify Admin Agentic Product Jsonld Backfill: SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars), SEO Optimizer (ailabs-393/ai-labs-claude-skills, 455 stars) and Portaljs Add Dcat (datopian/portaljs, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shopify Admin Agentic Product Jsonld Backfill?

40RTY-ai (a GitHub organization) maintains it in 40RTY-ai/shopify-admin-skills, which has 194 GitHub stars. The repository holds 116 skills in this directory. The repository was last updated on August 14, 2026.

Source: 40RTY-ai/shopify-admin-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Shopify Admin Agentic Product Jsonld Backfill

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SKILL.md

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