Agent skill

Shopify Admin Agentic Description Enrichment

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

Rewrite thin product descriptions into structured, fact-rich copy (materials, fit, use-cases, the words shoppers actually type) so AI agents have something concrete to quote and match.

MITAuto-check passedWriting & Content

Install Shopify Admin Agentic Description Enrichment

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

At a glance

Rewrite thin product descriptions into structured, fact-rich copy (materials, fit, use-cases, the words shoppers actually type) so AI agents have something concrete to quote and match.

  • Works in 3 steps: OPERATION: products — query → COMPUTE (no API): for each thin product,… → OPERATION: productUpdate — mutation
  • Tasks that involve Copywriting
  • SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 6 more sections
  • Calls shopify

What it does

Shopify Admin Agentic Description Enrichment is an agent skill from 40RTY-ai/shopify-admin-skills. Rewrite thin product descriptions into structured, fact-rich copy (materials, fit, use-cases, the words shoppers actually type) so AI agents have something concrete to quote and match.

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 Writing & Content, covering Copywriting. 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 Copywriting

Example prompts

  • “/shopify-admin-agentic-description-enrichment”

Requirements

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

Workflow steps

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

  1. OPERATION: products — query
  2. COMPUTE (no API): for each thin product, draft descriptionHtml: a one-line benefit hook + a short facts list built ONLY from real product…
  3. 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 Description Enrichment loads about 1.6k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 490 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
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). 490 words, ~1,632 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-agentic-description-enrichment/SKILL.md (or your agent's skills folder).
name
shopify-admin-agentic-description-enrichment
description
Rewrite thin product descriptions into structured, fact-rich copy (materials, fit, use-cases, the words shoppers actually type) so AI agents have something concrete to quote and match.
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
status
stable
audit_signals
listing-description-quality, agentic-listing-schema

Purpose

When an AI agent decides whether to recommend a product, it quotes the description to justify the match. One-line or empty descriptions give it nothing — so it can't confirm the product fits the shopper's intent and moves on. This skill finds products with thin descriptions (below a character threshold or missing key attributes) and rewrites them into structured copy: a benefit-led opening line, then concrete facts (material, fit/sizing, dimensions, use-cases, care) drawn from the product's own metafields/options/type. Fixes listing-description-quality and strengthens agentic-listing-schema.

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
min_charsintno120Products with a plain-text description shorter than this are rewritten
overwriteboolnofalseIf false, only enrich products below min_chars; if true, restructure all targeted products
brand_voicestringno—Optional voice guidance (e.g., "plain, technical, no hype")

Safety

⚠️ Step 3 (productUpdate) replaces descriptionHtml on live products. This is content the merchant may have hand-written. Always run dry_run: true, export the before/after, and have a human approve the rewrites before committing. Default only touches products under min_chars.

Workflow Steps

  1. OPERATION: products — query Inputs: first: 100, optional filter; fields descriptionHtml, title, productType, options, tags, metafields(first: 30); paginate. Expected output: Products whose stripped-text description is below min_chars, plus the structured facts available to enrich from.

  2. COMPUTE (no API): for each thin product, draft descriptionHtml: a one-line benefit hook + a short facts list built ONLY from real product data (no invented specs), honoring brand_voice. Emit a before/after preview.

  3. OPERATION: productUpdate — mutation Inputs: { id, descriptionHtml } per approved product. Expected output: Updated product; collect userErrors.

Show full SKILL.md (165 more words)Show less

GraphQL Operations

graphql
# products:query — validated against api_version 2025-01
query EnrichProducts($first: Int!, $after: String, $query: String) {
  products(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        title
        descriptionHtml
        productType
        tags
        options { name values }
        metafields(first: 30) { edges { node { namespace key value type } } }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}
graphql
# productUpdate:mutation — validated against api_version 2025-01
mutation EnrichProductDescription($input: ProductInput!) {
  productUpdate(input: $input) {
    product { id descriptionHtml }
    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 enriched + a before/after CSV (product, old_len, new_len, new_description). json: { products_enriched, products_skipped, errors, output_file }.

Error Handling

ErrorCauseRecovery
THROTTLEDAPI rate limitWait 2s, retry up to 3 times
userErrors non-emptyInvalid HTML / field lengthLog message, skip product, continue
No facts to enrich fromSparse product dataSkip; recommend running shopify-admin-agentic-metafields-setup first

Best Practices

  • Enrich from facts the store already holds (metafields, options, type) — never fabricate materials, certifications, or measurements.
  • Front-load the attributes shoppers search by; agents weight the first sentence heavily when matching intent.
  • This pairs with shopify-admin-agentic-metafields-setup: structured metafields make the descriptions both richer and machine-filterable.
  • Always have a human approve the dry-run diff for hero/bestseller products before committing.

© 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-description-enrichment of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Agentic Description Enrichment 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 Description Enrichment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Agentic Description Enrichment this skill40RTY-ai/shopify-admin-skills194—~1.6kAutomated safety check: PassMIT
E-commerce Visual Copywritingfeichanggege/ecommerce-visual-copywriting-skill867—~1.3kAutomated safety check: PassMIT
Memstack Content Product Descriptioncwinvestments/memstack423—~2.6kAutomated safety check: PassProprietary
Product Description Generatornexscope-ai/eCommerce-Skills1.1k—~3.3kAutomated safety check: PassMIT
Apify Lead Scoring Enrichmentapify/awesome-skills266—~4.4kAutomated safety check: NotesApache-2.0
Asd Ste100danyuchn/asd-ste100-skill4.3k—~4.1kAutomated safety check: PassMIT

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Works with

Questions about Shopify Admin Agentic Description Enrichment

What does Shopify Admin Agentic Description Enrichment do?

Rewrite thin product descriptions into structured, fact-rich copy (materials, fit, use-cases, the words shoppers actually type) so AI agents have something concrete to quote and match. Shopify Admin Agentic Description Enrichment is an agent skill from 40RTY-ai/shopify-admin-skills. Rewrite thin product descriptions into structured, fact-rich copy (materials, fit, use-cases, the words shoppers actually type) so AI agents have something concrete to quote and match.

When should I use Shopify Admin Agentic Description Enrichment?

Shopify Admin Agentic Description Enrichment fits situations like: tasks that involve Copywriting.

How do I install Shopify Admin Agentic Description Enrichment in Claude Code?

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

How do I install Shopify Admin Agentic Description Enrichment in Codex?

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

Can I use Shopify Admin Agentic Description Enrichment 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-description-enrichment -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-description-enrichment, .gemini/skills/shopify-admin-agentic-description-enrichment, .github/skills/shopify-admin-agentic-description-enrichment and .opencode/skills/shopify-admin-agentic-description-enrichment in your project.

What does Shopify Admin Agentic Description Enrichment need to run?

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

Does Shopify Admin Agentic Description Enrichment 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 Description Enrichment 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 Description Enrichment use?

Shopify Admin Agentic Description Enrichment 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 Description Enrichment 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 Description Enrichment?

Skills that share tags, products or a category with Shopify Admin Agentic Description Enrichment: E-commerce Visual Copywriting (feichanggege/ecommerce-visual-copywriting-skill, 867 stars), Memstack Content Product Description (cwinvestments/memstack, 423 stars), Product Description Generator (nexscope-ai/eCommerce-Skills, 1.1k stars) and Apify Lead Scoring Enrichment (apify/awesome-skills, 266 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 Description Enrichment?

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.