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Graphql Expert

Checked
personamanagmentlayer·vlatest·backend·Apache-2.0

Efficiently queries and manages user data via GraphQL APIs within the Person Management Layer backend system.

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 personamanagmentlayer/pcl --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

personamanagmentlayer

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 personamanagmentlayer/pcl at 79ccaa9820.

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

Commit
79ccaa9820
Manifest
stdlib/api/graphql-expert/SKILL.md
Scanned
4 files, 941 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 equips AI agents with advanced GraphQL query and mutation capabilities, enabling them to interact directly with backend APIs using a flexible schema-based language. It allows agents to efficiently fetch nested data, perform complex filtering, and execute real-time updates without relying on rigid REST endpoints.

When to use it

  • Retrieving deeply nested user profiles or product catalogs where relational data structures are required.
  • Performing batch operations or mutations to update multiple records simultaneously in a single request.
  • Integrating with modern microservices architectures that expose GraphQL gateways for unified data access.
  • Optimizing API calls by leveraging GraphQL's ability to specify exactly which fields are needed, reducing over-fetching.

Key capabilities

  • Constructing valid GraphQL queries and mutations dynamically based on agent goals.
  • Navigating complex object hierarchies and relationships defined in a GraphQL schema.
  • Handling variable arguments and filters to customize data retrieval results.
  • Executing real-time subscriptions for live data updates when supported by the backend.

Example prompts

  • "Fetch the latest inventory levels for all electronics products under $500, including their current stock status and supplier details."
  • "Update the user profile for ID 12345 to change their notification preferences to 'weekly' and verify the update succeeded."
  • "Query the organization's project board to find all tasks assigned to the engineering team that are currently in progress."

Tips & gotchas

Ensure the target backend API actually supports GraphQL; this skill will fail if attempting to query a standard REST endpoint. Always validate the specific schema of the API you are connecting to, as field names and types must match exactly for successful execution.