Agent skill

Shopify Admin Agentic Metafields Setup

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

Define and populate agentic-commerce metafields (material, attributes, key features, specs, sizing) so AI agents can filter and match products to specific shopper requirements.

MITAuto-check passedMarketing & SEO

Install Shopify Admin Agentic Metafields Setup

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-metafields-setup -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-metafields-setup --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-metafields-setup .claude/skills/shopify-admin-agentic-metafields-setup && 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-metafields-setup" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-metafields-setup into .claude/skills/shopify-admin-agentic-metafields-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-metafields-setup", 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-metafields-setup

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-metafields-setup -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-metafields-setup --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-metafields-setup .agents/skills/shopify-admin-agentic-metafields-setup && 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-metafields-setup" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-metafields-setup into .agents/skills/shopify-admin-agentic-metafields-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-metafields-setup", 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-metafields-setup -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-metafields-setup --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-metafields-setup .cursor/skills/shopify-admin-agentic-metafields-setup && 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-metafields-setup" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-metafields-setup into .cursor/skills/shopify-admin-agentic-metafields-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-metafields-setup", 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-metafields-setup

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

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-metafields-setup -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-metafields-setup .github/skills/shopify-admin-agentic-metafields-setup && 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-metafields-setup" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-metafields-setup into .github/skills/shopify-admin-agentic-metafields-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-metafields-setup", 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-metafields-setup -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-metafields-setup --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-metafields-setup .opencode/skills/shopify-admin-agentic-metafields-setup && 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-metafields-setup" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-metafields-setup into .opencode/skills/shopify-admin-agentic-metafields-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-agentic-metafields-setup", 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-metafields-setup
GitHub stars: 194
Token cost: ~1.9k tokens
SKILL.md length: 532 words
Files: 1
Skills in repo: 116
Repo updated: Aug 14, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Define and populate agentic-commerce metafields (material, attributes, key features, specs, sizing) so AI agents can filter and match products to specific shopper requirements.

Works in 4 steps: OPERATION: metafieldDefinitions — query → OPERATION: metafieldDefinitionCreate —… → OPERATION: products — query → …
Marketing & SEO work in your project
SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 6 more sections
Calls shopify

What it does

Shopify Admin Agentic Metafields Setup is an agent skill from 40RTY-ai/shopify-admin-skills. Define and populate agentic-commerce metafields (material, attributes, key features, specs, sizing) so AI agents can filter and match products to specific shopper requirements.

Its SKILL.md is about 1.9k 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. 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

Marketing & SEO work in your project

Example prompts

“/shopify-admin-agentic-metafields-setup”

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: metafieldDefinitions — query
OPERATION: metafieldDefinitionCreate — mutation
OPERATION: products — query
OPERATION: metafieldsSet — 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 Metafields Setup loads about 1.9k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 532 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~54
When it runs · the whole SKILL.md, loaded when a task matches: ~1.9k

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). 532 words, ~1,936 tokens.

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

name: shopify-admin-agentic-metafields-setup
description: Define and populate agentic-commerce metafields (material, attributes, key features, specs, sizing) so AI agents can filter and match products to specific shopper requirements.
compatibility: Claude Code, Cursor, Codex, Gemini CLI
role: agentic
toolkit: shopify-admin, shopify-admin-execution
api_version: 2025-01
graphql_operations: metafieldDefinitions:query, metafieldDefinitionCreate:mutation, products:query, metafieldsSet:mutation
status: stable
audit_signals: listing-metafields, variant-metadata, sizing-specs-structured

Purpose

AI agents answer constrained queries — "squat-proof leggings under $60", "eucalyptus slip-ons", "machine-washable wool" — by filtering on structured attributes. If those attributes live only in prose (or nowhere), the agent can't filter and your products drop out of the result set. This skill establishes a small, standard set of agentic metafield definitions (material, key features, care, fit, specs) and populates them across the catalog from existing product signals, so agents can match products to requirements. Fixes listing-metafields, variant-metadata, and sizing-specs-structured.

Prerequisites

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

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
namespace	string	no	agentic	Metafield namespace to create/populate under
keys	string	no	material,features,care,fit,specs	Comma list of metafield keys to ensure exist
collection_id	string	no	—	Limit population to a collection GID
tag	string	no	—	Limit population to a product tag
populate_from	string	no	tags,options,description	Sources to infer values from (no fabrication beyond these)

Safety

⚠️ Step 2 (metafieldDefinitionCreate) and Step 4 (metafieldsSet) write store schema + product data. Definitions are cheap to add but clutter the admin if mis-namespaced; values written from inference can be wrong. Run dry_run: true, review the proposed definitions and the value preview, and only populate values inferred with high confidence — leave the rest blank for human fill.

Workflow Steps

OPERATION: metafieldDefinitions — query Inputs: ownerType: PRODUCT, namespace: <namespace> Expected output: Which target keys already have definitions (skip those).
OPERATION: metafieldDefinitionCreate — mutation Inputs: one per missing key: { namespace, key, name, ownerType: PRODUCT, type: "single_line_text_field" | "list.single_line_text_field" } Expected output: Created definitions; collect userErrors (e.g. already-taken).
OPERATION: products — query Inputs: first: 250, optional filter; fields tags, options, descriptionHtml, existing metafields(namespace); paginate. Expected output: Products + the signals to infer attribute values from.
OPERATION: metafieldsSet — mutation Inputs: batches of { ownerId, namespace, key, value, type } for confidently-inferred, currently-empty values. Expected output: Set metafields; collect userErrors.

Show full SKILL.md (186 more words)Show less

GraphQL Operations

graphql

# metafieldDefinitions:query — validated against api_version 2025-01
query AgenticMetafieldDefs($namespace: String!) {
  metafieldDefinitions(first: 50, ownerType: PRODUCT, namespace: $namespace) {
    edges { node { id namespace key name type { name } } }
  }
}

graphql

# metafieldDefinitionCreate:mutation — validated against api_version 2025-01
mutation AgenticMetafieldDefCreate($definition: MetafieldDefinitionInput!) {
  metafieldDefinitionCreate(definition: $definition) {
    createdDefinition { id namespace key }
    userErrors { field message code }
  }
}

graphql

# products:query — validated against api_version 2025-01
query AgenticMetafieldProducts($first: Int!, $after: String, $query: String, $namespace: String!) {
  products(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        title
        tags
        options { name values }
        descriptionHtml
        metafields(first: 20, namespace: $namespace) {
          edges { node { key value } }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}

graphql

# metafieldsSet:mutation — validated against api_version 2025-01
mutation AgenticMetafieldsSet($metafields: [MetafieldsSetInput!]!) {
  metafieldsSet(metafields: $metafields) {
    metafields { id namespace key }
    userErrors { field message code }
  }
}

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: definitions created + a CSV of populated values (product, key, value, source). json: { definitions_created, metafields_set, products_touched, errors, output_file }.

Error Handling

Error	Cause	Recovery
`THROTTLED`	API rate limit	Wait 2s, retry up to 3 times
`TAKEN` on definition	Key already defined elsewhere	Reuse the existing definition, continue to population
`userErrors` on set	Type mismatch (e.g. list vs single)	Coerce value to the definition's type, retry once, else skip

Best Practices

Keep the namespace small and standard (agentic) and the key set tight — agents and storefront filters both benefit from consistency.
Only write values you can infer with high confidence from real signals; a wrong "material: leather" misleads every agent. Leave low-confidence fields blank.
Use list.single_line_text_field for multi-value attributes (features, materials) so filters work as OR-sets.
Follow with shopify-admin-agentic-description-enrichment so the prose and the structured data agree.

Files

Just SKILL.md in skills/agentic/shopify-admin-agentic-metafields-setup of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Agentic Metafields Setup 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.

Shopify Admin Agentic Metafields Setup compared with similar skills
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Shopify Admin Agentic Metafields Setup this skill40RTY-ai/shopify-admin-skills	194	—	~1.9k	Automated safety check: Pass	MIT	1 mo ago
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Google Analytics 4 Setupooiyeefei/ccc	494	—	~2.2k	Automated safety check: Pass	MIT	2 mo ago
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Ad Conversion Tracking Setupminhnv0807/ai-business-skills	608	—	~3.7k	Automated safety check: Pass	MIT	26 days ago
Shopifythatrebeccarae/claude-marketing	162	—	~2.4k	Automated safety check: Notes	MIT	4 mo ago

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Works with

Shopify

Questions about Shopify Admin Agentic Metafields Setup

What does Shopify Admin Agentic Metafields Setup do?

Define and populate agentic-commerce metafields (material, attributes, key features, specs, sizing) so AI agents can filter and match products to specific shopper requirements. Shopify Admin Agentic Metafields Setup is an agent skill from 40RTY-ai/shopify-admin-skills. Define and populate agentic-commerce metafields (material, attributes, key features, specs, sizing) so AI agents can filter and match products to specific shopper requirements.

When should I use Shopify Admin Agentic Metafields Setup?

Shopify Admin Agentic Metafields Setup fits situations like: marketing & SEO work in your project.

How do I install Shopify Admin Agentic Metafields Setup in Claude Code?

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

How do I install Shopify Admin Agentic Metafields Setup in Codex?

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

Can I use Shopify Admin Agentic Metafields Setup 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-metafields-setup -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-metafields-setup, .gemini/skills/shopify-admin-agentic-metafields-setup, .github/skills/shopify-admin-agentic-metafields-setup and .opencode/skills/shopify-admin-agentic-metafields-setup in your project.

What does Shopify Admin Agentic Metafields Setup need to run?

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

Does Shopify Admin Agentic Metafields Setup 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 Metafields Setup 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 Metafields Setup use?

Shopify Admin Agentic Metafields Setup 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 Metafields Setup use?

About 1.9k tokens (SKILL.md is roughly 7.7k 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 Metafields Setup?

Skills that share tags, products or a category with Shopify Admin Agentic Metafields Setup: Tracking Discover (jtrackingai/analytics-tracking-automation, 142 stars), Google Analytics 4 Setup (ooiyeefei/ccc, 494 stars), Tracking Sync (jtrackingai/analytics-tracking-automation, 142 stars) and Ad Conversion Tracking Setup (minhnv0807/ai-business-skills, 608 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 Metafields Setup?

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 Metafields Setup

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

Purpose

Prerequisites

Parameters

Safety

Workflow Steps

GraphQL Operations

Session Tracking

Output Format

Error Handling

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