Production-ready Node.js backend patterns with Express/Fastify, middleware, authentication, and database integration.
Works with
Covers layered architecture (controllers, services, repositories), dependency injection, and microservices design with TypeScript
Includes middleware patterns for authentication, validation, rate limiting, and request logging with practical examples
Provides custom error handling, global error handlers, and async error wrappers for robust error management
Supports
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionnodejs-backend-patternsExecute the skills CLI command in your project's root directory to begin installation:
Fetches nodejs-backend-patterns from wshobson/agents and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate nodejs-backend-patterns. Access via /nodejs-backend-patterns in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Comprehensive guidance for building scalable, maintainable, and production-ready Node.js backend applications with modern frameworks, architectural patterns, and best practices.
Basic Setup:
import express, { Request, Response, NextFunction } from "express";
import helmet from "helmet";
import cors from "cors";
import compression from "compression";
const app = express();
// Security middleware
app.use(helmet());
app.use(cors({ origin: process.env.ALLOWED_ORIGINS?.split(",") }));
app.use(compression());
// Body parsing
app.use(express.json({ limit: "10mb" }));
app.use(express.urlencoded({ extended: true, limit: "10mb" }));
// Request logging
app.use((req: Request, res: Response, next: NextFunction) => {
console.log(`${req.method} ${req.path}`);
next();
});
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
console.log(`Server running on port ${PORT}`);
});
Basic Setup:
import Fastify from "fastify";
import helmet from "@fastify/helmet";
import cors from "@fastify/cors";
import compress from "@fastify/compress";
const fastify = Fastify({
logger: {
level: process.env.LOG_LEVEL || "info",
transport: {
target: "pino-pretty",
options: { colorize: true },
},
},
});
// Plugins
await fastify.register(helmet);
await fastify.register(cors, { origin: true });
await fastify.register(compress);
// Type-safe routes with schema validation
fastify.post<{
Body: { name: string; email: string };
Reply: { id: string; name: string };
}>(
"/users",
{
schema: {
body: {
type: "object",
required: ["name", "email"],
properties: {
name: { type: "string", minLength: 1 },
email: { type: "string", format: "email" },
},
},
},
},
async (request, reply) => {
const { name, email } = request.body;
return { id: "123", name };
},
);
await fastify.listen({ port: 3000, host: "0.0.0.0" });
Structure:
src/
├── controllers/ # Handle HTTP requests/responses
├── services/ # Business logic
├── repositories/ # Data access layer
├── models/ # Data models
├── middleware/ # Express/Fastify middleware
├── routes/ # Route definitions
├── utils/ # Helper functions
├── config/ # Configuration
└── types/ # TypeScript types
Controller Layer:
// controllers/user.controller.ts
import { Request, Response, NextFunction } from "express";
import { UserService } from "../services/user.service";
import { CreateUserDTO, UpdateUserDTO } from "../types/user.types";
export class UserController {
constructor(private userService: UserService) {}
async createUser(req: Request, res: Response, next: NextFunction) {
try {
const userData: CreateUserDTO = req.body;
const user = await this.userService.createUser(userData);
res.status(201).json(user);
} catch (error) {
next(error);
}
}
async getUser(req: Request, res: RespPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Solid pick for teams standardizing on skills: nodejs-backend-patterns is focused, and the summary matches what you get after install.
nodejs-backend-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: nodejs-backend-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
nodejs-backend-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
nodejs-backend-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: nodejs-backend-patterns is focused, and the summary matches what you get after install.
We added nodejs-backend-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend nodejs-backend-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
nodejs-backend-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in nodejs-backend-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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