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Apollo Client

Organization
apollographql
apollo-client

Guide for building React applications with Apollo Client 4.x. Use this skill when: (1) setting up Apollo Client in a React project, (2) writing GraphQL queries or mutations with hooks, (3) configuring caching or cache policies, (4) managing local state with reactive variables, (5) troubleshooting Apollo Client errors or performance issues.

Overview

Publisherapollographql
Repositoryskills
Skill nameapollo-client
Stars
112
Forks
12
Bundled files
13
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by apollographql on GitHub. Read the source before you install it.

Installation

Install the Apollo Client AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/apollographql/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/apollo-client .claude/skills/apollo-client
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Apollo Client in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Apollo Client on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Apollo Client is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Apollo Client 4.x Guide

Apollo Client is a comprehensive state management library for JavaScript that enables you to manage both local and remote data with GraphQL. Version 4.x brings improved caching, better TypeScript support, and React 19 compatibility.

Integration Guides

Choose the integration guide that matches your application setup:

Each guide includes installation steps, configuration, and framework-specific patterns optimized for that environment.

Quick Reference

Basic Query

tsx
import { gql } from "@apollo/client";
import { useQuery } from "@apollo/client/react";

const GET_USER = gql`
  query GetUser($id: ID!) {
    user(id: $id) {
      id
      name
    }
  }
`;

function UserProfile({ userId }: { userId: string }) {
  const { loading, error, data, dataState } = useQuery(GET_USER, {
    variables: { id: userId },
  });

  if (loading) return <p>Loading...</p>;
  if (error) return <p>Error: {error.message}</p>;

  // TypeScript note: for stricter type narrowing, you can also check `dataState === "complete"` before accessing data
  return <div>{data?.user.name}</div>;
}

Basic Mutation

tsx
import { gql } from "@apollo/client";
import { useMutation } from "@apollo/client/react";

const CREATE_USER = gql`
  mutation CreateUser($input: CreateUserInput!) {
    createUser(input: $input) {
      id
      name
    }
  }
`;

function CreateUserForm() {
  const [createUser, { loading, error }] = useMutation(CREATE_USER);

  const handleSubmit = async (name: string) => {
    await createUser({ variables: { input: { name } } });
  };

  return <button onClick={() => handleSubmit("John")}>Create User</button>;
}

Suspense Query

tsx
import { Suspense } from "react";
import { useSuspenseQuery } from "@apollo/client/react";

function UserProfile({ userId }: { userId: string }) {
  const { data } = useSuspenseQuery(GET_USER, {
    variables: { id: userId },
  });

  return <div>{data.user.name}</div>;
}

function App() {
  return (
    <Suspense fallback={<p>Loading user...</p>}>
      <UserProfile userId="1" />
    </Suspense>
  );
}

Reference Files

Detailed documentation for specific topics:

Key Rules

Query Best Practices

  • Each page should generally only have one query, composed from colocated fragments. Use useFragment or useSuspenseFragment in all non-page-components. Use @defer to allow slow fields below the fold to stream in later and avoid blocking the page load.
  • Fragments are for colocation, not reuse. Each fragment should describe exactly the data needs of a specific component, not be shared across components for common fields. See Fragments reference for details on fragment colocation and data masking.
  • Always handle loading and error states in UI when using non-suspenseful hooks (useQuery, useLazyQuery). When using Suspense hooks (useSuspenseQuery, useBackgroundQuery), React handles this through <Suspense> boundaries and error boundaries.
  • Use fetchPolicy to control cache behavior per query
  • Use the TypeScript type server to look up documentation for functions and options (Apollo Client has extensive docblocks)

Mutation Best Practices

  • If the schema permits, mutation return values should return everything necessary to update the cache. Neither manual updates nor refetching should be necessary.
  • If the mutation response is insufficient, carefully weigh manual cache manipulation vs refetching. Manual updates risk missing server logic. Consider optimistic updates with a granular refetch if needed.
  • Handle errors gracefully in the UI
  • Use refetchQueries sparingly (prefer letting the cache update automatically)

Caching Best Practices

  • Configure keyFields for types without id field
  • Disable normalization by setting keyFields: false for types that don't include an identifier and are meant to group related fields under the parent
  • Use typePolicies for pagination and computed fields
  • Understand cache normalization to debug issues
  • Enable data masking for all new applications - it prevents components from accessing fragment data they don't own, enforcing proper data boundaries and preventing over-rendering

Performance

  • Avoid over-fetching with proper field selection
  • Configure appropriate fetchPolicy per use case
  • Use @defer for incremental delivery of deferred query parts, and @stream for streaming list fields (@stream available in Apollo Client 4.1+)
  • Prefer Suspense hooks (useSuspenseQuery, useBackgroundQuery) in modern applications for better loading state handling and code simplicity

Ground Rules

  • ALWAYS use Apollo Client 4.x patterns (not v3 or earlier)
  • ALWAYS wrap your app with ApolloProvider
  • ALWAYS handle loading and error states when using non-suspenseful hooks
  • PREFER Suspense hooks (useSuspenseQuery, useBackgroundQuery) in modern applications for better DX
  • NEVER store Apollo Client in React state (use module-level or context)
  • PREFER cache-first for read-heavy data, network-only for real-time data
  • USE TypeScript for better type safety with GraphQL
  • IMPLEMENT proper cache updates instead of refetching entire queries
  • ADVISE the human steering you to look into Apollo DevTools when collaboratively debugging Apollo Client issues

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Apollo Client AI skill do?

Guide for building React applications with Apollo Client 4.x. Use this skill when: (1) setting up Apollo Client in a React project, (2) writing GraphQL queries or mutations with hooks, (3) configuring caching or cache policies, (4) managing local state with reactive variables, (5) troubleshooting Apollo Client errors or performance issues.

Why use Apollo Client on TypingMind?

Because you install it once and use it with any model. Apollo Client is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Apollo Client in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/apollographql/skills/tree/main/skills/apollo-client. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Apollo Client?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Apollo Client?

As many as you like. As long as a model supports skills, you can use Apollo Client with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Apollo Client AI skill free?

Yes. It is published on GitHub by apollographql under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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