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Graphql Schema

Checked
chriswiles·vlatest·backend

Helps with GraphQL, schema 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 chriswiles/claude-code-showcase --skill graphql-schema -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

chriswiles

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 chriswiles/claude-code-showcase at a95518f0cb.

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

Commit
a95518f0cb
Manifest
.claude/skills/graphql-schema/SKILL.md
Scanned
1 file, 265 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 schemas based on provided data structures or descriptions. It can take a JSON schema, database table definition, or natural language description and translate it into a valid GraphQL schema file. This simplifies backend development by automating schema creation and ensuring consistency between data models and APIs.

When to use it

  • Rapid API Prototyping: Quickly generate a GraphQL schema for a new project based on existing database tables.
  • Schema Evolution: Automatically update a GraphQL schema when the underlying data model changes (e.g., adding a new column to a table).
  • Data Integration: Create a unified GraphQL schema from multiple disparate data sources, each with its own structure.
  • Learning GraphQL: Experiment with different schema designs and see how they translate into GraphQL syntax.

Key capabilities

  • Schema generation from JSON Schema
  • Schema generation from database table definitions
  • Schema generation from natural language descriptions
  • GraphQL schema file output

Example prompts

  • "Generate a GraphQL schema for this JSON schema: { ... }"
  • "Create a GraphQL schema based on the following database table: users (id INT, name STRING)."
  • "Write a GraphQL schema that allows querying users and their associated posts."

Tips & gotchas

The quality of the generated schema depends heavily on the clarity and accuracy of the input data structure or description. Providing well-defined JSON schemas or detailed table definitions will yield better results than vague natural language descriptions.