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Graphql Expert

Checked
travisjneuman·vlatest·backend·MIT

Crafts complex GraphQL queries, schemas, resolvers, and optimizes performance based on travisjneuman's expertise.

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 travisjneuman/.claude --skill graphql-expert -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

travisjneuman

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 travisjneuman/.claude at 050878886e.

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

Scanned
1 file, 745 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 provides expert assistance with GraphQL queries, schemas, and related concepts. It can generate complex GraphQL queries from natural language descriptions, validate existing queries for correctness, and explain how to optimize GraphQL APIs. The agent can also help debug issues arising from malformed or inefficient GraphQL requests.

When to use it

  • You need to construct a GraphQL query but are unsure of the correct syntax or schema fields.
  • You're troubleshooting errors in an existing GraphQL API integration.
  • You want to understand how to improve the performance and efficiency of your GraphQL queries.
  • You’re designing a new GraphQL schema and need assistance with best practices.

Key capabilities

  • GraphQL query generation from natural language
  • GraphQL query validation
  • GraphQL schema explanation
  • GraphQL API optimization suggestions
  • Debugging assistance for GraphQL errors

Example prompts

  • "Generate a GraphQL query to retrieve the names and email addresses of all users."
  • "Is this GraphQL query valid: { user(id: "123") { name, email }}?"
  • "Explain the purpose of the 'subscription' field in this GraphQL schema."

Tips & gotchas

The agent’s effectiveness depends on providing clear and specific details about your desired outcome or problem. A basic understanding of GraphQL concepts will help you formulate prompts effectively.