apollo-server
Guide for building GraphQL servers with Apollo Server 5.x. Use this skill when: (1) setting up a new Apollo Server project, (2) writing resolvers or defining GraphQL schemas, (3) implementing authentication or authorization, (4) creating plugins or custom data sources, (5) troubleshooting Apollo Server errors or performance issues.
What this skill does
# Apollo Server 5.x Guide
Apollo Server is an open-source GraphQL server that works with any GraphQL schema. Apollo Server 5 is framework-agnostic and runs standalone or integrates with Express, Fastify, and serverless environments.
## Quick Start
### Step 1: Install
```bash
npm install @apollo/server graphql
```
For Express integration:
```bash
npm install @apollo/server @as-integrations/express5 express graphql cors
```
### Step 2: Define Schema
```typescript
const typeDefs = `#graphql
type Book {
title: String
author: String
}
type Query {
books: [Book]
}
`;
```
### Step 3: Write Resolvers
```typescript
const resolvers = {
Query: {
books: () => [
{ title: "The Great Gatsby", author: "F. Scott Fitzgerald" },
{ title: "1984", author: "George Orwell" },
],
},
};
```
### Step 4: Start Server
**Standalone (Recommended for prototyping):**
The standalone server is great for prototyping, but for production services, we recommend integrating Apollo Server with a more fully-featured web framework such as Express, Koa, or Fastify. Swapping from the standalone server to a web framework later is straightforward.
```typescript
import { ApolloServer } from "@apollo/server";
import { startStandaloneServer } from "@apollo/server/standalone";
const server = new ApolloServer({ typeDefs, resolvers });
const { url } = await startStandaloneServer(server, {
listen: { port: 4000 },
});
console.log(`Server ready at ${url}`);
```
**Express:**
```typescript
import { ApolloServer } from "@apollo/server";
import { expressMiddleware } from "@as-integrations/express5";
import { ApolloServerPluginDrainHttpServer } from "@apollo/server/plugin/drainHttpServer";
import express from "express";
import http from "http";
import cors from "cors";
const app = express();
const httpServer = http.createServer(app);
const server = new ApolloServer({
typeDefs,
resolvers,
plugins: [ApolloServerPluginDrainHttpServer({ httpServer })],
});
await server.start();
app.use(
"/graphql",
cors(),
express.json(),
expressMiddleware(server, {
context: async ({ req }) => ({ token: req.headers.authorization }),
}),
);
await new Promise<void>((resolve) => httpServer.listen({ port: 4000 }, resolve));
console.log("Server ready at http://localhost:4000/graphql");
```
## Schema Definition
### Scalar Types
- `Int` - 32-bit integer
- `Float` - Double-precision floating-point
- `String` - UTF-8 string
- `Boolean` - true/false
- `ID` - Unique identifier (serialized as String)
### Type Definitions
```graphql
type User {
id: ID!
name: String!
email: String
posts: [Post!]!
}
type Post {
id: ID!
title: String!
content: String
author: User!
}
input CreatePostInput {
title: String!
content: String
}
type Query {
user(id: ID!): User
users: [User!]!
}
type Mutation {
createPost(input: CreatePostInput!): Post!
}
```
### Enums and Interfaces
```graphql
enum Status {
DRAFT
PUBLISHED
ARCHIVED
}
interface Node {
id: ID!
}
type Article implements Node {
id: ID!
title: String!
}
```
## Resolvers Overview
Resolvers follow the signature: `(parent, args, contextValue, info)`
- **parent**: Result from parent resolver (root resolvers receive undefined)
- **args**: Arguments passed to the field
- **contextValue**: Shared context object (auth, dataSources, etc.)
- **info**: Field-specific info and schema details (rarely used)
```typescript
const resolvers = {
Query: {
user: async (_, { id }, { dataSources }) => {
return dataSources.usersAPI.getUser(id);
},
},
User: {
posts: async (parent, _, { dataSources }) => {
return dataSources.postsAPI.getPostsByAuthor(parent.id);
},
},
Mutation: {
createPost: async (_, { input }, { dataSources, user }) => {
if (!user) throw new GraphQLError("Not authenticated");
return dataSources.postsAPI.create({ ...input, authorId: user.id });
},
},
};
```
## Context Setup
Context is created per-request and passed to all resolvers.
```typescript
interface MyContext {
token?: string;
user?: User;
dataSources: {
usersAPI: UsersDataSource;
postsAPI: PostsDataSource;
};
}
const server = new ApolloServer<MyContext>({
typeDefs,
resolvers,
});
// Standalone
const { url } = await startStandaloneServer(server, {
context: async ({ req }) => ({
token: req.headers.authorization || "",
user: await getUser(req.headers.authorization || ""),
dataSources: {
usersAPI: new UsersDataSource(),
postsAPI: new PostsDataSource(),
},
}),
});
// Express middleware
expressMiddleware(server, {
context: async ({ req, res }) => ({
token: req.headers.authorization,
user: await getUser(req.headers.authorization),
dataSources: {
usersAPI: new UsersDataSource(),
postsAPI: new PostsDataSource(),
},
}),
});
```
## Reference Files
Detailed documentation for specific topics:
- [Resolvers](references/resolvers.md) - Resolver patterns and best practices
- [Context and Auth](references/context-and-auth.md) - Authentication and authorization
- [Plugins](references/plugins.md) - Server and request lifecycle hooks
- [Data Sources](references/data-sources.md) - RESTDataSource and DataLoader
- [Error Handling](references/error-handling.md) - GraphQLError and error formatting
- [Troubleshooting](references/troubleshooting.md) - Common issues and solutions
## Key Rules
### Schema Design
- Use **!** (non-null) for fields that always have values
- Prefer input types for mutations over inline arguments
- Use interfaces for polymorphic types
- Keep schema descriptions for documentation
### Resolver Best Practices
- Keep resolvers thin - delegate to services/data sources
- Always handle errors explicitly
- Use DataLoader for batching related queries
- Return partial data when possible (GraphQL's strength)
### Performance
- Use `@defer` and `@stream` for large responses
- Implement DataLoader to solve N+1 queries
- Consider persisted queries for production
- Use caching headers and CDN where appropriate
## Ground Rules
- ALWAYS use Apollo Server 5.x patterns (not v4 or earlier)
- ALWAYS type your context with TypeScript generics
- ALWAYS use `GraphQLError` from `graphql` package for errors
- NEVER expose stack traces in production errors
- PREFER `startStandaloneServer` for prototyping only
- USE an integration with a server framework like Express, Koa, Fastify, Next, etc. for production apps
- IMPLEMENT authentication in context, authorization in resolvers
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.