Agent skill

Shopify Admin Agentic Product Taxonomy

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

Assign every product a Shopify Standard Product Taxonomy category so AI agents can map a shopper's intent to the right category and surface the store's products.

MITAuto-check passedMarketing & SEO

Install Shopify Admin Agentic Product Taxonomy

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-taxonomy -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-taxonomy --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-taxonomy .claude/skills/shopify-admin-agentic-product-taxonomy && 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-product-taxonomy
GitHub stars
194
Token cost
~1.6k tokens
SKILL.md length
484 words
Files
1
Skills in repo
116
Repo updated
First seen
Licence
MIT

At a glance

Assign every product a Shopify Standard Product Taxonomy category so AI agents can map a shopper's intent to the right category and surface the store's products.

  • Works in 4 steps: OPERATION: products — query → OPERATION: taxonomy — query → COMPUTE (no API): score each product… → …
  • 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 Product Taxonomy is an agent skill from 40RTY-ai/shopify-admin-skills. Assign every product a Shopify Standard Product Taxonomy category so AI agents can map a shopper's intent to the right category and surface the store's products.

Its SKILL.md is about 1.6k 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

  • “s intent to the right category and surface the store”
  • “/shopify-admin-agentic-product-taxonomy”

Requirements

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

Workflow steps

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

  1. OPERATION: products — query
  2. OPERATION: taxonomy — query
  3. COMPUTE (no API): score each product against candidate nodes; pick the best ≥ confidence_floor. Emit the proposed mapping.
  4. OPERATION: productUpdate — 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 Taxonomy loads about 1.6k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 484 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 484 words, ~1,634 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-agentic-product-taxonomy/SKILL.md (or your agent's skills folder).
name
shopify-admin-agentic-product-taxonomy
description
Assign every product a Shopify Standard Product Taxonomy category so AI agents can map a shopper's intent to the right category and surface the store's products.
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
agentic
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
products:query, taxonomy:query, productUpdate:mutation
status
stable
audit_signals
category-taxonomy-api, catalog-intent-alignment

Purpose

AI shopping agents resolve a query ("running shoes", "office chair", "sustainable sneakers") to a taxonomy node, then retrieve products in that node. Products with no Standard Product Taxonomy category are invisible to that mapping — they only surface on exact keyword luck. This skill finds uncategorized (or mis-categorized) products and assigns the correct Shopify standard taxonomy category, inferred from title/type/tags and confirmed against the live taxonomy tree. Fixes category-taxonomy-api and lifts catalog-intent-alignment.

Prerequisites

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

Parameters

All skills accept these universal parameters:

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain (e.g., mystore.myshopify.com)
formatstringnohumanOutput format: human (default) or json
dry_runboolnofalsePreview mutations without executing

Skill-specific parameters:

ParameterTypeRequiredDefaultDescription
collection_idstringno—Limit to a collection GID
tagstringno—Limit to a product tag
only_missingboolnotrueIf true, only assign products with no category; if false, also review mismatches
confidence_floorfloatno0.7Skip products whose best taxonomy match scores below this

Safety

⚠️ Step 4 (productUpdate) sets the category on live products, which affects storefront facets, marketplaces, and tax. A wrong category mis-files a product everywhere. Run dry_run: true, review the proposed product → category mapping, and only auto-assign matches above confidence_floor; queue the rest for human review.

Workflow Steps

  1. OPERATION: products — query Inputs: first: 250, optional filter; fields title, productType, tags, category{ id fullName }; paginate. Expected output: Products with their current category (or null).

  2. OPERATION: taxonomy — query Inputs: search the standard taxonomy tree by candidate terms derived from each product's type/title. Expected output: Candidate taxonomy category nodes (id + fullName) to match against.

  3. COMPUTE (no API): score each product against candidate nodes; pick the best ≥ confidence_floor. Emit the proposed mapping.

  4. OPERATION: productUpdate — mutation Inputs: { id, category: <taxonomyCategoryId> } per confident match. Expected output: Updated product category; collect userErrors.

Show full SKILL.md (169 more words)Show less

GraphQL Operations

graphql
# products:query — validated against api_version 2025-01
query TaxonomyProducts($first: Int!, $after: String, $query: String) {
  products(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        title
        productType
        tags
        category { id fullName }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}
graphql
# taxonomy:query — validated against api_version 2025-01
query TaxonomySearch($search: String) {
  taxonomy {
    categories(first: 20, search: $search) {
      edges { node { id fullName isLeaf level } }
    }
  }
}
graphql
# productUpdate:mutation — validated against api_version 2025-01
mutation TaxonomyAssign($input: ProductInput!) {
  productUpdate(input: $input) {
    product { id category { id fullName } }
    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: count categorized + a CSV (product, old_category, new_category, confidence) and a "needs review" list below the floor. json: { categorized, needs_review, errors, output_file }.

Error Handling

ErrorCauseRecovery
THROTTLEDAPI rate limitWait 2s, retry up to 3 times
No taxonomy matchNiche/ambiguous productAdd to needs-review list, do not guess
userErrors on updateInvalid category idLog, skip, continue

Best Practices

  • Pick the most specific (leaf) node you're confident in — agents match deeper categories more precisely than top-level ones.
  • Keep only_missing: true for the first pass; re-categorizing existing assignments is higher-risk and best reviewed.
  • Aligning the category with your storefront collections compounds the benefit: agents and on-site filters then agree.
  • Re-run shopify-admin-agentic-readiness-audit to confirm the Matchable pillar improved.

© 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-product-taxonomy of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Agentic Product Taxonomy 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 Product Taxonomy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Agentic Product Taxonomy this skill40RTY-ai/shopify-admin-skills194—~1.6kAutomated 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 Product Taxonomy

What does Shopify Admin Agentic Product Taxonomy do?

Assign every product a Shopify Standard Product Taxonomy category so AI agents can map a shopper's intent to the right category and surface the store's products. Shopify Admin Agentic Product Taxonomy is an agent skill from 40RTY-ai/shopify-admin-skills. Assign every product a Shopify Standard Product Taxonomy category so AI agents can map a shopper's intent to the right category and surface the store's products.

When should I use Shopify Admin Agentic Product Taxonomy?

Shopify Admin Agentic Product Taxonomy fits situations like: marketing & SEO work in your project.

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

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

How do I install Shopify Admin Agentic Product Taxonomy in Codex?

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

Can I use Shopify Admin Agentic Product Taxonomy 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-taxonomy -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-taxonomy, .gemini/skills/shopify-admin-agentic-product-taxonomy, .github/skills/shopify-admin-agentic-product-taxonomy and .opencode/skills/shopify-admin-agentic-product-taxonomy in your project.

What does Shopify Admin Agentic Product Taxonomy need to run?

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

Does Shopify Admin Agentic Product Taxonomy 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 Taxonomy 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 Taxonomy use?

Shopify Admin Agentic Product Taxonomy 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 Taxonomy use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Taxonomy?

Skills that share tags, products or a category with Shopify Admin Agentic Product Taxonomy: 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 Product Taxonomy?

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.