Shopify Admin Agentic Organization Schema logo

Shopify Admin Agentic Organization Schema

Organization
40RTY-ai
shopify-admin-agentic-organization-schema

Inject an Organization JSON-LD block (name, logo, sameAs social links, contactPoint) into the theme so AI agents can verify the store is a real, trusted brand and link it to its public identity.

Overview

Publisher40RTY-ai
Repositoryshopify-admin-skills
Skill nameshopify-admin-agentic-organization-schema
Stars
200
Forks
22
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by 40RTY-ai on GitHub. Read the source before you install it.

Installation

Install the Shopify Admin Agentic Organization Schema AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-organization-schema
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git /tmp/shopify-admin-skills
mkdir -p .claude/skills
cp -r /tmp/shopify-admin-skills/skills/agentic/shopify-admin-agentic-organization-schema .claude/skills/shopify-admin-agentic-organization-schema
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shopify Admin Agentic Organization Schema in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Shopify Admin Agentic Organization Schema on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Shopify Admin Agentic Organization Schema is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Purpose

AI assistants check a site's schema.org/Organization JSON-LD to confirm it's the real brand (not a counterfeit or reseller) and to connect it to its public identity via sameAs (official socials, Wikipedia/Wikidata) and a machine-readable contactPoint. Without it, agents hesitate to recommend the store or send buyers to it. This skill builds an Organization JSON-LD block from the shop's data + supplied social links and injects it into the theme layout via a managed snippet. Fixes org-schema, machine-contact, and supports wikidata-qid (through sameAs).

Prerequisites

  • Authenticated Shopify CLI session (shopify auth login --store <domain>)
  • Required API scopes: read_themes, write_themes

Parameters

All skills accept these universal parameters:

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain (e.g., mystore.myshopify.com)
formatstringnohumanOutput format: human (default) or json
dry_runboolnotruePreview the snippet + injection without writing (defaults ON — edits the live theme)

Skill-specific parameters:

ParameterTypeRequiredDefaultDescription
theme_idstringno—Theme GID (defaults to published MAIN theme)
logo_urlstringno—Absolute logo URL (else inferred from theme settings if available)
same_asstringno—Comma list of official profile URLs (Instagram, TikTok, LinkedIn, Wikipedia, Wikidata)
contact_emailstringno—Customer-support email for contactPoint (else shop contactEmail)
contact_phonestringno—Optional support phone for contactPoint

Safety

⚠️ Step 3 (themeFilesUpsert) writes a snippet and edits layout/theme.liquid in the LIVE theme. The change is additive (a {% render %} in <head>), but it publishes immediately and a malformed edit to theme.liquid can break rendering. The skill writes the JSON-LD into its own snippet file and inserts a single managed {% render 'agentic-organization-schema' %} line inside a # BEGIN/END marker block. Defaults dry_run: true; duplicate the theme first.

Workflow Steps

  1. OPERATION: shop — query Inputs: none Expected output: Shop name, primary domain, contact email — the core Organization fields.

  2. OPERATION: themes — query Inputs: roles: [MAIN], theme.files(filenames: ["layout/theme.liquid", "snippets/agentic-organization-schema.liquid"]) Expected output: Current layout (to inject the render tag) + whether the snippet already exists.

  3. OPERATION: themeFilesUpsert — mutation Inputs: write snippets/agentic-organization-schema.liquid (the JSON-LD <script type="application/ld+json">), and upsert layout/theme.liquid with the managed {% render %} block added in <head> if absent. Skipped on dry_run. Expected output: Upserted files; collect userErrors.

GraphQL Operations

graphql
# shop:query — validated against api_version 2025-01
query OrgSchemaShop {
  shop {
    name
    primaryDomain { url }
    contactEmail
  }
}
graphql
# themes:query — validated against api_version 2025-01
query OrgSchemaTheme {
  themes(first: 1, roles: [MAIN]) {
    nodes {
      id
      files(filenames: ["layout/theme.liquid", "snippets/agentic-organization-schema.liquid"]) {
        nodes {
          filename
          body { ... on OnlineStoreThemeFileBodyText { content } }
        }
      }
    }
  }
}
graphql
# themeFilesUpsert:mutation — validated against api_version 2025-01
mutation OrgSchemaUpsert($themeId: ID!, $files: [OnlineStoreThemeFilesUpsertFileInput!]!) {
  themeFilesUpsert(themeId: $themeId, files: $files) {
    upsertedThemeFiles { filename }
    userErrors { filename code message }
  }
}

Snippet body (snippets/agentic-organization-schema.liquid):

liquid
{%- comment -%} managed by shopify-admin-agentic-organization-schema {%- endcomment -%}
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "<shop name>",
  "url": "<primary domain>",
  "logo": "<logo_url>",
  "sameAs": [ "<same_as[0]>", "..." ],
  "contactPoint": {
    "@type": "ContactPoint",
    "contactType": "customer support",
    "email": "<contact_email>"
  }
}
</script>

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: the generated JSON-LD + the layout diff showing the one inserted render line. json: { theme_id, json_ld, layout_modified: true|false, wrote: true|false, errors }.

Error Handling

ErrorCauseRecovery
THROTTLEDAPI rate limitWait 2s, retry up to 3 times
ACCESS_DENIEDMissing write_themesAbort; output the snippet so it can be pasted manually
userErrors on layout upsertLiquid syntax issueWrite the snippet only, skip the layout edit, surface the manual {% render %} instruction

Best Practices

  • Only put REAL, official URLs in sameAs — a wrong profile undermines trust rather than building it. Wikipedia/Wikidata links are especially strong identity signals.
  • Inject via a snippet + a single managed render line; never paste JSON-LD inline into theme.liquid so re-runs and rollback stay clean.
  • Use an absolute, HTTPS logo URL (a square PNG works best for knowledge panels).
  • Duplicate the theme first and keep dry_run: true until you've read the layout diff.

Frequently asked questions

What does the Shopify Admin Agentic Organization Schema AI skill do?

Inject an Organization JSON-LD block (name, logo, sameAs social links, contactPoint) into the theme so AI agents can verify the store is a real, trusted brand and link it to its public identity.

Why use Shopify Admin Agentic Organization Schema on TypingMind?

Because you install it once and use it with any model. Shopify Admin Agentic Organization Schema is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Shopify Admin Agentic Organization Schema in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-organization-schema. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Shopify Admin Agentic Organization Schema?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Shopify Admin Agentic Organization Schema?

As many as you like. As long as a model supports skills, you can use Shopify Admin Agentic Organization Schema with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Shopify Admin Agentic Organization Schema AI skill free?

Yes. It is published on GitHub by 40RTY-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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