Agent skill

Shopify Admin Product Data Completeness Score

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

Read-only: scores each product on data completeness across description, images, SEO, weight, barcode, cost, and metafields.

MITAuto-check passedEducation

Install Shopify Admin Product Data Completeness Score

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-product-data-completeness-score -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-product-data-completeness-score --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/merchandising/shopify-admin-product-data-completeness-score .claude/skills/shopify-admin-product-data-completeness-score && 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-product-data-completeness-score" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-product-data-completeness-score into .claude/skills/shopify-admin-product-data-completeness-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-product-data-completeness-score", 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/merchandising/shopify-admin-product-data-completeness-score

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

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

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-product-data-completeness-score -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/merchandising/shopify-admin-product-data-completeness-score .github/skills/shopify-admin-product-data-completeness-score && 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-product-data-completeness-score" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-product-data-completeness-score into .github/skills/shopify-admin-product-data-completeness-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-product-data-completeness-score", 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-product-data-completeness-score -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-product-data-completeness-score --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/merchandising/shopify-admin-product-data-completeness-score .opencode/skills/shopify-admin-product-data-completeness-score && 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-product-data-completeness-score" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-product-data-completeness-score into .opencode/skills/shopify-admin-product-data-completeness-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-product-data-completeness-score", 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-product-data-completeness-score
GitHub stars: 194
Token cost: ~1.4k tokens
SKILL.md length: 378 words
Files: 1
Skills in repo: 116
Repo updated: Aug 14, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Read-only: scores each product on data completeness across description, images, SEO, weight, barcode, cost, and metafields.

Works in 2 steps: OPERATION: products — query → Score each product per rubric; rank…
Education work in your project
SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 7 more sections
Calls shopify

What it does

Shopify Admin Product Data Completeness Score is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: scores each product on data completeness across description, images, SEO, weight, barcode, cost, and metafields.

Its SKILL.md is about 1.4k 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 Education. 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

Education work in your project

Example prompts

“/shopify-admin-product-data-completeness-score”

Requirements

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

Workflow steps

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

OPERATION: products — query
Score each product per rubric; rank ascending by score

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 Product Data Completeness Score loads about 1.4k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 378 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~42
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

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). 378 words, ~1,370 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-product-data-completeness-score/SKILL.md (or your agent's skills folder).

name: shopify-admin-product-data-completeness-score
description: Read-only: scores each product on data completeness across description, images, SEO, weight, barcode, cost, and metafields.
compatibility: Claude Code, Cursor, Codex, Gemini CLI
role: merchandising
toolkit: shopify-admin, shopify-admin-execution
api_version: 2025-01
graphql_operations: products:query
status: stable

Purpose

Calculates a data completeness score (0–100) for each active product based on the presence of key fields: description, images, SEO title, SEO description, variant weight, barcode, cost, and specified metafields. Produces a ranked list of products needing the most data work. Read-only — no mutations. Catalog health report in a single pass.

Prerequisites

Authenticated Shopify CLI session: shopify store auth --store <domain> --scopes read_products
API scopes: read_products

Parameters

Parameter	Type	Required	Default	Description
store	string	yes	—	Store domain (e.g., mystore.myshopify.com)
status_filter	string	no	active	Product status to score: `active`, `draft`, or `all`
required_metafields	array	no	[]	List of `namespace.key` metafields that are required (e.g., `["custom.material"]`)
format	string	no	human	Output format: `human` or `json`

Safety

ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.

Scoring Rubric

Field	Points
Description present (non-empty)	15
At least 1 image	15
SEO title present	10
SEO description present	10
At least 1 variant with barcode	10
At least 1 variant with cost	10
At least 1 variant with weight	10
All required metafields present	20 (split evenly)
Total	100

Workflow Steps

OPERATION: products — query Inputs: query: "status:<status_filter>", first: 250, select all completeness fields, pagination cursor Expected output: Products with all scored fields; paginate until hasNextPage: false
Score each product per rubric; rank ascending by score

GraphQL Operations

graphql

# products:query — validated against api_version 2025-01
query ProductCompleteness($query: String!, $after: String) {
  products(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        title
        handle
        descriptionHtml
        images(first: 1) {
          edges {
            node {
              id
            }
          }
        }
        seo {
          title
          description
        }
        variants(first: 10) {
          edges {
            node {
              id
              barcode
              weight
              inventoryItem {
                unitCost {
                  amount
                }
              }
            }
          }
        }
        metafields(first: 20) {
          edges {
            node {
              namespace
              key
              value
            }
          }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Show full SKILL.md (160 more words)Show less

Session Tracking

Claude MUST emit the following output at each stage. This is mandatory.

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Product Data Completeness Score      ║
║  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>

On completion, emit:

For format: human (default):

══════════════════════════════════════════════
PRODUCT DATA COMPLETENESS REPORT
  Products scored:  <n>
  Avg score:        <pct>/100
  Score < 50:       <n> products (need urgent attention)
  Score 50–79:      <n> products
  Score ≥ 80:       <n> products

  Lowest scoring products:
    "<title>"  Score: <n>/100  Missing: description, SEO title
  Output: completeness_<date>.csv
══════════════════════════════════════════════

For format: json, emit:

json

{
  "skill": "product-data-completeness-score",
  "store": "<domain>",
  "products_scored": 0,
  "avg_score": 0,
  "below_50_count": 0,
  "output_file": "completeness_<date>.csv"
}

Output Format

CSV file completeness_<YYYY-MM-DD>.csv with columns: product_id, title, score, has_description, image_count, has_seo_title, has_seo_description, has_barcode, has_cost, has_weight, missing_metafields

Error Handling

Error	Cause	Recovery
`THROTTLED`	API rate limit exceeded	Wait 2 seconds, retry up to 3 times
No products match filter	Empty catalog or wrong filter	Exit with 0 results

Best Practices

Use this skill as a pre-launch gate — run before activating DRAFT products to ensure all required fields are filled.
Tune required_metafields to your store's specific needs (e.g., custom.material for apparel, custom.ingredients for food).
A score below 50 typically means a product is missing foundational content (description or images) and should be deprioritized from launch until fixed.
Run monthly to track catalog quality trends over time; improvements after a content sprint should be visible in the average score.

Files

Just SKILL.md in skills/merchandising/shopify-admin-product-data-completeness-score of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Product Data Completeness Score 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 Product Data Completeness Score compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Shopify Admin Product Data Completeness Score this skill40RTY-ai/shopify-admin-skills	194	—	~1.4k	Automated safety check: Pass	MIT	1 mo ago
Shopify Review Triagesickn33/agentic-awesome-skills	47k	1 repos	~5.8k	Automated safety check: Pass	MIT	yesterday
Shopify Review Triagegithub/awesome-copilot	40k	—	~4.2k	Automated safety check: Pass	MIT	yesterday
DeepTutor CLIHKUDS/DeepTutor	41k	—	~2.8k	Automated safety check: Pass	Apache-2.0	2 days ago
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch	66k	—	~2k	Automated safety check: Pass	MIT	today
Deep Reading Analystginobefun/deep-reading-analyst-skill	354	4 repos	~3.6k	Automated safety check: Pass	MIT	11 mo ago

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Works with

Shopify

Questions about Shopify Admin Product Data Completeness Score

What does Shopify Admin Product Data Completeness Score do?

Read-only: scores each product on data completeness across description, images, SEO, weight, barcode, cost, and metafields. Shopify Admin Product Data Completeness Score is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: scores each product on data completeness across description, images, SEO, weight, barcode, cost, and metafields.

When should I use Shopify Admin Product Data Completeness Score?

Shopify Admin Product Data Completeness Score fits situations like: education work in your project.

How do I install Shopify Admin Product Data Completeness Score in Claude Code?

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

How do I install Shopify Admin Product Data Completeness Score in Codex?

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

Can I use Shopify Admin Product Data Completeness Score 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-product-data-completeness-score -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-product-data-completeness-score, .gemini/skills/shopify-admin-product-data-completeness-score, .github/skills/shopify-admin-product-data-completeness-score and .opencode/skills/shopify-admin-product-data-completeness-score in your project.

What does Shopify Admin Product Data Completeness Score need to run?

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

Does Shopify Admin Product Data Completeness Score 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 Product Data Completeness Score 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 Product Data Completeness Score use?

Shopify Admin Product Data Completeness Score 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 Product Data Completeness Score use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 Product Data Completeness Score?

Skills that share tags, products or a category with Shopify Admin Product Data Completeness Score: Shopify Review Triage (sickn33/agentic-awesome-skills, 47k stars), Shopify Review Triage (github/awesome-copilot, 40k stars), DeepTutor CLI (HKUDS/DeepTutor, 41k stars) and AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shopify Admin Product Data Completeness Score?

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 Product Data Completeness Score

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SKILL.md

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