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Graphql Architect

Checked
rmyndharis·vlatest·backend·MIT

Designs, implements, and optimizes GraphQL APIs and backends using best practices and efficient data fetching strategies.

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 rmyndharis/antigravity-skills --skill graphql-architect -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Scanned
1 file, 182 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 design and implement GraphQL APIs. It can generate schema definitions, resolvers, and associated code based on provided data models or descriptions of desired API functionality. The agent is capable of handling complex relationships and custom scalar types within the generated GraphQL architecture.

When to use it

  • You need a new backend API quickly without writing extensive boilerplate code.
  • You have existing data structures (e.g., database schemas) that you want to expose via a GraphQL interface.
  • You're building a microservice and require a standardized, efficient way to query data.
  • You are prototyping an API and need a rapid development cycle for experimentation.

Key capabilities

  • GraphQL schema generation
  • Resolver implementation
  • Support for custom scalar types
  • Handles complex relationships between data entities

Example prompts

  • "Generate a GraphQL schema for a blog with posts, authors, and comments."
  • "Create resolvers for the 'Post' type in my GraphQL API, fetching data from a PostgreSQL database."
  • “Design a GraphQL API to query product inventory, including details about suppliers and pricing tiers.”

Tips & gotchas

The agent’s output may require some manual adjustments depending on the complexity of your data model or specific implementation requirements. Ensure you have a clear understanding of GraphQL principles for best results.