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Writing Graphql Operations

Checked
saleor·vlatest·backend·BSD-3-Clause

Helps with writing, GraphQL as part of developing backend services and APIs workflows.

Repository

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 saleor/configurator --skill writing-graphql-operations -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

saleor

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 saleor/configurator at 3d1b55a084.

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

Commit
3d1b55a084
Manifest
.claude/skills/writing-graphql-operations/SKILL.md
Scanned
3 files, 695 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 allows AI agents to generate GraphQL operations, including queries and mutations. It facilitates interacting with APIs that use GraphQL, enabling data retrieval and modification based on specified schemas. The agent can construct these operations from natural language descriptions or structured requests.

When to use it

  • Data Retrieval: When you need an AI agent to fetch specific data from a GraphQL API (e.g., "Get all products with a price greater than $50").
  • Data Modification: To have the agent create mutations for updating or creating data within a GraphQL-powered system (e.g., "Create a new user account with these details.").
  • API Integration: When integrating with backend systems that expose their functionality through GraphQL endpoints.
  • Automated Testing: Generating test cases and operations against a GraphQL API to ensure its stability and correctness.

Key capabilities

  • GraphQL query generation
  • GraphQL mutation generation
  • Schema awareness (implied)
  • Operation construction from natural language

Example prompts

  • "Write a GraphQL query to get the names of all products."
  • "Generate a mutation to update the quantity of product ID 'XYZ' to 10."
  • “Create a GraphQL operation that retrieves the total number of orders.”

Tips & gotchas

The agent’s effectiveness depends on its understanding of the target GraphQL schema. Providing context or examples of the schema can significantly improve the quality of generated operations.