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Apollo Client

Official
apollographql·vlatest·backend·MIT

Efficiently manages GraphQL API interactions using Apollo Client for data fetching and caching within your application.

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 apollographql/skills --skill apollo-client -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

apollographql

Matched to the vendor's own GitHub organisation.

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: nextjs.org.

    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.

    Hosts contacted

    nextjs.orgundeclared

    What it found

    • skills/apollo-client/references/integration-nextjs.md:47contacts nextjs.org
      // See: https://nextjs.org/docs/app/api-reference/functions/fetch
  • 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 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 apollographql/skills at 322da824b2.

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

Scanned
14 files, 5,547 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

The Apollo Client skill enables AI agents to interact with GraphQL APIs efficiently, allowing them to query and mutate data in a structured way. It provides tools for caching, state management, and error handling, making it ideal for building responsive and scalable applications that rely on GraphQL.

When to use it

  • You need to fetch or update data from a GraphQL API in your application.
  • Your project requires efficient data caching and query optimization.
  • You are developing a frontend application that interacts with a backend GraphQL service.
  • You want to manage complex state changes based on GraphQL responses.

Key capabilities

  • Query and mutate data using GraphQL
  • Caching mechanisms for improved performance
  • State management integration
  • Error handling and retry logic

Example prompts

  • "Fetch user details from the GraphQL API with ID 123."
  • "Update the status of task #456 to 'completed' using a GraphQL mutation."
  • "Cache the latest product data for faster access in the next request."

Tips & gotchas

  • Ensure your AI agent has access to the correct GraphQL endpoint and schema.
  • Be mindful of query complexity, as overly complex queries can impact performance.