Agent skill

Shopify Admin Agentic Readiness Audit

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

Score how findable, readable, and recommendable the store's catalog is to AI shopping agents — then route each gap to the agentic skill that fixes it.

MITAuto-check passedMarketing & SEO

Install Shopify Admin Agentic Readiness Audit

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-readiness-audit -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-readiness-audit --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-readiness-audit .claude/skills/shopify-admin-agentic-readiness-audit && 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/

Facts

Skill name
shopify-admin-agentic-readiness-audit
GitHub stars
194
Token cost
~2.2k tokens
SKILL.md length
598 words
Files
1
Skills in repo
116
Repo updated
First seen
Licence
MIT

At a glance

Score how findable, readable, and recommendable the store's catalog is to AI shopping agents — then route each gap to the agentic skill that fixes it.

  • Works in 6 steps: OPERATION: shop — query → OPERATION: themes — query → OPERATION: metafieldDefinitions — query → …
  • Marketing & SEO work in your project
  • SKILL.md covers Purpose, Prerequisites, Parameters and Workflow Steps, plus 5 more sections
  • Calls shopify

What it does

Shopify Admin Agentic Readiness Audit is an agent skill from 40RTY-ai/shopify-admin-skills. Score how findable, readable, and recommendable the store's catalog is to AI shopping agents — then route each gap to the agentic skill that fixes it.

Its SKILL.md is about 2.2k 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-readiness-audit”

Requirements

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

Workflow steps

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

  1. OPERATION: shop — query
  2. OPERATION: themes — query
  3. OPERATION: metafieldDefinitions — query
  4. OPERATION: products — query (paginate to sample_size)
  5. OPERATION: files — query
  6. COMPUTE (no API): roll the findings into a 0–100 readiness score across five pillars — Discoverable (robots/llms.txt), Trusted…

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 Readiness Audit loads about 2.2k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 598 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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). 598 words, ~2,180 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-agentic-readiness-audit/SKILL.md (or your agent's skills folder).
name
shopify-admin-agentic-readiness-audit
description
Score how findable, readable, and recommendable the store's catalog is to AI shopping agents — then route each gap to the agentic skill that fixes it.
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
agentic
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
products:query, files:query, metafieldDefinitions:query, shop:query, themes:query
status
stable
audit_signals
agentic-listing-schema, catalog-intent-alignment, product-schema-jsonld, gtin-sku-pdp, listing-image-alt-text, listing-description-quality…

Purpose

Runs a store-side "Agentic Commerce Readiness" scan — the same questions the public agentiq.report audit asks, but answered from inside the Shopify Admin with full catalog data. It scores whether AI shopping agents (ChatGPT, Gemini, Perplexity, agentic checkout) can FIND, READ, and RECOMMEND the store's products, then prints a prioritized gap list where every gap names the sibling agentic skill that fixes it. Read-only — it changes nothing. Use it first (and on a schedule) to decide which remediation skills to run.

Prerequisites

  • Authenticated Shopify CLI session (shopify auth login --store <domain>)
  • Required API scopes: read_products, read_files, read_content (themes), read_online_store_pages

Parameters

All skills accept these universal parameters:

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain (e.g., mystore.myshopify.com)
formatstringnohumanOutput format: human (default) or json
dry_runboolnofalseNo-op here — this skill never mutates

Skill-specific parameters:

ParameterTypeRequiredDefaultDescription
sample_sizeintno250How many products to sample for the catalog-data checks
min_description_charsintno120Threshold below which a description counts as "thin"

Workflow Steps

  1. OPERATION: shop — query Inputs: none Expected output: Shop name, primary domain, social sameAs links, and policy presence — feeds the identity + policy checks.

  2. OPERATION: themes — query Inputs: roles: [MAIN], then theme.files(filenames: ["templates/robots.txt.liquid", "layout/theme.liquid", "assets/llms.txt", "templates/llms.txt.liquid"]) Expected output: Whether the published theme allows AI crawlers (robots), ships an Organization JSON-LD block, and serves an llms.txt — feeds discovery + identity checks.

  3. OPERATION: metafieldDefinitions — query Inputs: ownerType: PRODUCT Expected output: Which structured attributes are defined (material, specs, features) — feeds the metafield-coverage check.

  4. OPERATION: products — query (paginate to sample_size) Inputs: first: 250, fields: descriptionHtml, category, media, metafields, variants{ barcode, sku, price } Expected output: Per-product completeness — description length, image alt-text coverage, barcode/GTIN presence, category assigned, metafield population.

  5. OPERATION: files — query Inputs: first: 50, query: "media_type:IMAGE" (sample) — corroborate alt-text coverage at the file level. Expected output: Alt-text fill rate across product media.

  6. COMPUTE (no API): roll the findings into a 0–100 readiness score across five pillars — Discoverable (robots/llms.txt), Trusted (Organization schema, sameAs, policies), Readable (descriptions, alt text, JSON-LD fields), Structured (metafields, category, barcodes), Matchable (title/tag/metafield richness for intent) — and map each failing pillar to its fix skill.

GraphQL Operations

graphql
# shop:query — validated against api_version 2025-01
query AgenticReadinessShop {
  shop {
    name
    myshopifyDomain
    primaryDomain { url }
    contactEmail
    shopPolicies { type body url }
  }
}
graphql
# themes:query — validated against api_version 2025-01
query AgenticReadinessTheme {
  themes(first: 1, roles: [MAIN]) {
    nodes {
      id
      name
      files(filenames: [
        "templates/robots.txt.liquid",
        "layout/theme.liquid",
        "assets/llms.txt",
        "templates/llms.txt.liquid"
      ]) {
        nodes {
          filename
          body {
            ... on OnlineStoreThemeFileBodyText { content }
          }
        }
      }
    }
  }
}
graphql
# metafieldDefinitions:query — validated against api_version 2025-01
query AgenticReadinessMetafieldDefs {
  metafieldDefinitions(first: 100, ownerType: PRODUCT) {
    edges { node { namespace key name type { name } } }
  }
}
graphql
# products:query — validated against api_version 2025-01
query AgenticReadinessProducts($first: Int!, $after: String) {
  products(first: $first, after: $after) {
    edges {
      node {
        id
        title
        descriptionHtml
        category { id fullName }
        tags
        media(first: 10) {
          edges { node { ... on MediaImage { id image { altText url } } } }
        }
        metafields(first: 20) { edges { node { namespace key value } } }
        variants(first: 100) {
          edges { node { id sku barcode price } }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}
graphql
# files:query — validated against api_version 2025-01
query AgenticReadinessFiles($first: Int!, $after: String) {
  files(first: $first, after: $after, query: "media_type:IMAGE") {
    edges { node { ... on MediaImage { id alt } } }
    pageInfo { hasNextPage endCursor }
  }
}
Show full SKILL.md (239 more words)Show less

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

A readiness scorecard. human: an overall 0–100 score + per-pillar bars (Discoverable / Trusted / Readable / Structured / Matchable) + a prioritized gap table where each row is gap → impact → the agentic skill to run. json: { score, grade, pillars{...}, gaps:[{ pillar, audit_signal, finding, fix_skill }], sampled_products }. Every fix_skill value is a sibling skill name (e.g. shopify-admin-agentic-image-alt-text) so the operator can chain straight into remediation.

Error Handling

ErrorCauseRecovery
THROTTLEDAPI rate limitWait 2s, retry up to 3 times
ACCESS_DENIED reading themesMissing read_content scopeSkip the theme pillar, mark Discoverable/Trusted "unknown", continue
Empty catalogNew/empty storeReport "no products to assess"; still check theme + policies

Best Practices

  • Run this FIRST and re-run it after each remediation skill — it's the scoreboard that tells you what's left and what moved.
  • Sample, don't crawl: 250 products is enough to estimate fill rates; only audit the full catalog when the sample shows borderline pillars.
  • Treat category-unassigned and barcode-missing as the highest-leverage gaps — they unblock both AI retrieval (Matchable) and Product JSON-LD (Readable) at once.
  • This skill is read-only; it never needs dry_run. The skills it routes you to DO mutate — run each of those with dry_run: true first.

© 40RTY-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/agentic/shopify-admin-agentic-readiness-audit of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Agentic Readiness Audit 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 Readiness Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Agentic Readiness Audit this skill40RTY-ai/shopify-admin-skills194—~2.2kAutomated safety check: PassMIT
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Google Analytics 4 Setupooiyeefei/ccc495—~2.2kAutomated safety check: PassMIT
Tracking Syncjtrackingai/analytics-tracking-automation142—~677Automated safety check: PassApache-2.0
Ad Conversion Tracking Setupminhnv0807/ai-business-skills609—~3.7kAutomated safety check: PassMIT
Shopifythatrebeccarae/claude-marketing161—~2.4kAutomated safety check: NotesMIT

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Works with

Categories

Questions about Shopify Admin Agentic Readiness Audit

What does Shopify Admin Agentic Readiness Audit do?

Score how findable, readable, and recommendable the store's catalog is to AI shopping agents — then route each gap to the agentic skill that fixes it. Shopify Admin Agentic Readiness Audit is an agent skill from 40RTY-ai/shopify-admin-skills. Score how findable, readable, and recommendable the store's catalog is to AI shopping agents — then route each gap to the agentic skill that fixes it.

When should I use Shopify Admin Agentic Readiness Audit?

Shopify Admin Agentic Readiness Audit fits situations like: marketing & SEO work in your project.

How do I install Shopify Admin Agentic Readiness Audit in Claude Code?

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

How do I install Shopify Admin Agentic Readiness Audit in Codex?

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

Can I use Shopify Admin Agentic Readiness Audit 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-readiness-audit -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-readiness-audit, .gemini/skills/shopify-admin-agentic-readiness-audit, .github/skills/shopify-admin-agentic-readiness-audit and .opencode/skills/shopify-admin-agentic-readiness-audit in your project.

What does Shopify Admin Agentic Readiness Audit need to run?

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

Does Shopify Admin Agentic Readiness Audit 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 Readiness Audit 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 Readiness Audit use?

Shopify Admin Agentic Readiness Audit 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 Readiness Audit use?

About 2.2k tokens (SKILL.md is roughly 8.7k 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 Readiness Audit?

Skills that share tags, products or a category with Shopify Admin Agentic Readiness Audit: Tracking Discover (jtrackingai/analytics-tracking-automation, 142 stars), Google Analytics 4 Setup (ooiyeefei/ccc, 495 stars), Tracking Sync (jtrackingai/analytics-tracking-automation, 142 stars) and Ad Conversion Tracking Setup (minhnv0807/ai-business-skills, 609 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 Readiness Audit?

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.