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Graphql Api Development

Checked
manutej·vlatest·backend

Helps with GraphQL, API 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 manutej/crush-mcp-server --skill graphql-api-development -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

manutej

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 manutej/crush-mcp-server at bb8eed14fe.

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

Commit
bb8eed14fe
Manifest
.claude/skills/graphql-api-development/SKILL.md
Scanned
6 files, 9,088 lines
Copies in repo
2 — all of them scanned
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 enables AI agents to develop GraphQL APIs. It facilitates defining schemas, resolvers, and integrating with data sources to expose structured data through a queryable interface. The agent can generate API endpoints based on specified requirements and handle complex data relationships efficiently.

When to use it

  • Data Integration: When you need to create an API that combines data from multiple disparate sources.
  • Custom Data Access: When standard APIs are insufficient for your specific data access needs.
  • Backend Development: To automate the creation of backend services with a focus on efficient data retrieval and manipulation.
  • Rapid Prototyping: Quickly build and test API functionality without extensive manual coding.

Key capabilities

  • Schema definition
  • Resolver implementation
  • Data source integration
  • API endpoint generation

Example prompts

  • "Create a GraphQL API for managing customer orders, including fields for order ID, date, items, and total amount."
  • "Generate a GraphQL schema based on this database table: users (id, name, email)."
  • "Build a GraphQL endpoint to retrieve product details, including images and related products."

Tips & gotchas

The agent requires access to relevant data source information or schemas for effective API generation. Ensure the provided specifications are clear and unambiguous to avoid unexpected results.