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Master backend development with Node.js, Python, Java, Go, Rust, API design, databases, and microservices. Use when building APIs, designing systems, or learning backend frameworks.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name backend-technologies
description Master backend development with Node.js, Python, Java, Go, Rust, API design, databases, and microservices. Use when building APIs, designing systems, or learning backend frameworks.
sasmp_version 1.3.0
bonded_agent 02-typescript-backend
bond_type PRIMARY_BOND

Backend Technologies Skill

Quick Start - Express.js API

import express, { Request, Response } from 'express';
import { prisma } from './lib/prisma';

const app = express();
app.use(express.json());

// GET all users
app.get('/users', async (req: Request, res: Response) => {
  try {
    const users = await prisma.user.findMany();
    res.json(users);
  } catch (error) {
    res.status(500).json({ error: 'Failed to fetch users' });
  }
});

// POST new user
app.post('/users', async (req: Request, res: Response) => {
  const { email, name } = req.body;
  try {
    const user = await prisma.user.create({
      data: { email, name }
    });
    res.status(201).json(user);
  } catch (error) {
    res.status(400).json({ error: 'Invalid data' });
  }
});

app.listen(3000, () => console.log('Server running on 3000'));

Core Technologies

Languages

  • Node.js - JavaScript runtime
  • Python - Versatile with many frameworks
  • Java - Enterprise standard
  • Go - Concurrent systems
  • Rust - Systems programming

Web Frameworks

  • Express, Fastify, NestJS (Node.js)
  • Django, FastAPI, Flask (Python)
  • Spring Boot, Quarkus (Java)
  • Gin, Fiber (Go)
  • Actix, Axum (Rust)

Databases

  • SQL: PostgreSQL, MySQL
  • NoSQL: MongoDB, DynamoDB
  • Cache: Redis, Memcached
  • Search: Elasticsearch

API & Messaging

  • REST APIs with best practices
  • GraphQL API design
  • gRPC for microservices
  • WebSockets for real-time
  • Kafka, RabbitMQ for messaging

ORM/Query Tools

  • Prisma, Sequelize (Node.js)
  • SQLAlchemy, Tortoise (Python)
  • Hibernate, Spring Data (Java)
  • GORM (Go)

Best Practices

  1. API Design - RESTful or GraphQL standards
  2. Database - Proper indexing and optimization
  3. Security - Input validation, parameterized queries
  4. Error Handling - Meaningful error messages
  5. Testing - Unit and integration tests
  6. Documentation - OpenAPI/Swagger docs
  7. Logging - Structured logging
  8. Performance - Response time optimization

Resources