Skip to content
TrustedSkillsbeta
Back to all skills

Graphql Design

Checked
rohitg00·vlatest·backend·Apache-2.0

Helps with GraphQL, design 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 rohitg00/awesome-claude-code-toolkit --skill graphql-design -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

rohitg00

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 rohitg00/awesome-claude-code-toolkit at ebdf1d596d.

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

Commit
ebdf1d596d
Manifest
skills/graphql-design/SKILL.md
Scanned
1 file, 186 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 helps design GraphQL schemas and resolvers. It can generate schema definitions based on data models, suggest appropriate resolver functions for fetching data, and optimize queries for performance. The tool aims to simplify the process of building robust and efficient GraphQL APIs.

When to use it

  • You need to create a GraphQL API from existing database tables or data structures.
  • You're struggling with designing complex relationships within your GraphQL schema.
  • You want to improve the performance of existing GraphQL queries by optimizing resolvers.
  • You’re building a new backend and want to leverage GraphQL for its flexibility and efficiency.

Key capabilities

  • Schema generation from data models
  • Resolver function suggestion
  • Query optimization recommendations

Example prompts

  • "Generate a GraphQL schema for a database with tables 'users' and 'posts'."
  • "Suggest resolver functions for the 'posts' query, fetching user information as well."
  • "Optimize this GraphQL query: query { posts { id title author { name } } }"

Tips & gotchas

The skill’s effectiveness depends on providing clear and accurate data models or existing schema structures. It may require some manual adjustments to the generated schemas and resolvers based on specific application requirements.