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Shopify Admin Graphql

Checked
tamiror6·vlatest·backend·MIT

Access and manipulate Shopify store data via Tamir's GraphQL API integration for automated tasks and custom workflows.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add tamiror6/shopify-app-skills --skill shopify-admin-graphql -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

tamiror6

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned tamiror6/shopify-app-skills at 56d37db097.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 285 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact directly with the Shopify Admin GraphQL API, allowing for programmatic management of store data. It facilitates complex queries and mutations without relying on REST endpoints or browser-based admin interfaces.

When to use it

  • Automating inventory updates across multiple product variants simultaneously.
  • Retrieving real-time sales analytics and order history for reporting dashboards.
  • Creating new customers and assigning them to specific collections via API calls.
  • Modifying store settings like shipping zones or tax configurations through code.

Key capabilities

  • Direct access to the Shopify Admin GraphQL schema.
  • Execution of custom queries to fetch nested data efficiently.
  • Performance of mutations to create, update, or delete resources.
  • Bypassing rate limits associated with standard REST API calls.

Example prompts

  • "Query all active orders from the last 30 days and calculate total revenue per product."
  • "Create a new customer account for 'John Doe' and add them to the 'VIP' collection."
  • "Update the price of all products in the 'Summer Sale' collection by 15%."

Tips & gotchas

Ensure your AI agent has valid API credentials with appropriate scopes (e.g., write_products, read_orders) before attempting mutations. Be mindful of GraphQL query depth limits to prevent request failures on large datasets.