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Graphql Schema

Checked
manastalukdar·vlatest·backend·MIT

Helps with GraphQL, schema design as part of developing backend services and APIs 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 manastalukdar/ai-devstudio --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

manastalukdar

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 manastalukdar/claude-devstudio at e457c1d3b5.

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

Scanned
1 file, 28 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 create schemas for various data sources, including databases and APIs. The generated schema defines the types of data available through a GraphQL API, enabling efficient querying and data retrieval.

When to use it

  • API Development: Quickly generate a GraphQL schema from an existing REST API's documentation or JSON response structure.
  • Database Integration: Create a GraphQL interface for accessing data stored in relational databases like PostgreSQL or MySQL.
  • Data Modeling: Define the structure of your data and automatically create a corresponding GraphQL schema to facilitate data exploration and manipulation.
  • Backend Prototyping: Rapidly prototype backend systems by generating schemas before implementing resolvers.

Key capabilities

  • Schema generation from data structures
  • Support for various data sources (databases, APIs)
  • GraphQL type definition creation

Example prompts

  • "Generate a GraphQL schema based on this JSON: [JSON Data]"
  • "Create a GraphQL schema for a database table named 'users' with columns id, name, and email."
  • "Build a GraphQL API from the following REST API documentation: [API Documentation Link]"

Tips & gotchas

The quality of the generated schema depends heavily on the clarity and accuracy of the input data structures or descriptions. Ensure your input is well-defined to achieve optimal results.