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backend-development

Design and implement production-grade backend systems across Node.js, Python, Go, and Rust.

Updated Feb 3, 2026
Search Tags:#architecture#Docker#security#CI/CD#backend#Kubernetes#APIs
One-click install
npx skills add https://github.com/lv7dev/shop_v2 --skill backend-development-lv7dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backend-development
Source: https://github.com/lv7dev/shop_v2/tree/main/.claude/skills/backend-development
Command: npx skills add https://github.com/lv7dev/shop_v2 --skill backend-development-lv7dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides guidance and practical patterns to design, implement, and operate production-grade backend systems across Node.js, Python, Go, and Rust, covering APIs, authentication, data access, deployment, and observability.

Core Features & Use Cases

  • Architecture guidance for monoliths and microservices, including service boundaries and data ownership.
  • API design patterns (REST, GraphQL, gRPC) with authentication, authorization, and error handling.
  • Data modeling and database strategy (PostgreSQL, MongoDB, Redis) with performance considerations.
  • DevOps and runtime practices (Docker, Kubernetes, CI/CD), plus monitoring, tracing, and security hardening.

Quick Start

Draft a production-ready backend blueprint: choose a stack, outline services (e.g., users, products, orders), define core APIs, configure authentication with JWT, and sketch a minimal deployment using Docker and Kubernetes.

Frequently Asked Questions about backend-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design production-ready backend APIs with JWT authentication?▼

Designing production-ready backend APIs with JWT authentication involves defining core REST, GraphQL, or gRPC endpoints, mapping data models to PostgreSQL or MongoDB, and configuring OAuth 2.1 security boundaries. This Skill outlines those patterns for Node.js, Python, Go, and Rust environments.

What's the best way to structure microservices and data ownership for a backend system?▼

Structuring microservices and data ownership requires defining clear service boundaries and database strategies. This Skill provides architecture guidance for distinguishing monolith versus microservices patterns, ensuring isolated data access across PostgreSQL, MongoDB, and Redis deployments.

How do I deploy a backend application using Docker and Kubernetes?▼

Deploying a backend application using Docker and Kubernetes involves containerizing the runtime environment and configuring CI/CD pipelines for automated delivery. This Skill guides DevOps practices for sketching minimal deployments and managing runtime orchestration for production-grade systems.

Can I use this backend architecture guidance for both Node.js and Rust environments?▼

Yes, this backend architecture guidance applies to Node.js, Python, Go, and Rust environments. It provides practical patterns for API design, data modeling, and observability that span these languages, ensuring robust backend implementation regardless of your chosen stack.

How do I add observability and monitoring to a microservices backend?▼

Adding observability and monitoring to a microservices backend requires implementing tracing and logging across service boundaries. This Skill covers monitoring patterns and runtime practices that help track performance and debug production-grade deployments effectively.

When should I choose a monolith architecture over microservices for my backend?▼

Choosing a monolith architecture over microservices depends on your service boundaries and data ownership requirements. This Skill provides architecture guidance to evaluate when a monolith or microservices approach best fits your production backend system's scale and complexity.

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