backend

Select tech stacks and enforce architectural constraints for backend projects.

Updated Aug 23, 2026

Search Tags:#architecture #security #scalability #backend #observability #stack-selection #domain-constraints

Ready to run

npx skills add https://github.com/mrsknetwork/nemodev --skill backend-mrsknetwork

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: backend
Source: https://github.com/mrsknetwork/nemodev/tree/main/skills/domains/references/backend
Command: npx skills add https://github.com/mrsknetwork/nemodev --skill backend-mrsknetwork

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Backend architecture decisions and domain-specific constraints often overwhelm teams; this Skill provides a structured approach to select tech stacks, enforce clean layering, and inject domain SOPs to ensure secure, scalable server-side systems.

Core Features & Use Cases

Stack selection guidance to align with project needs (Python/FastAPI, Node.js, or Go) and justification.
Universal and stack-specific constraints to prevent data leakage, ensure proper layering, and enable structured logging.
Domain-aware guidelines and SOPs to accelerate backend design across services, databases, and APIs.

Quick Start

Provide a backend project brief and I will deliver a stack recommendation, constraints, and a phased rollout plan.

Frequently Asked Questions about backend

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

FAQPage Schema

How do I select the best backend tech stack for a scalable API service?▼

Backend stack selection aligns project needs with Python/FastAPI, Node.js, or Go by evaluating domain constraints and scalability requirements. It justifies the optimal choice to ensure secure, scalable server-side systems and delivers a phased rollout plan.

What is the best way to enforce layered architecture and prevent data leakage in microservices?▼

Layered architecture prevents data leakage by enforcing strict boundaries and DTO serialization between service layers. Applying universal and stack-specific constraints guides clean separation, ensuring proper layering and secure data flow across polyglot stacks.

Can I use this backend design approach for data-heavy applications across Python and Go?▼

Yes, this backend design approach applies to data-heavy backends and microservices with polyglot stacks across Python, Node.js, and Go. It provides domain-aware guidelines and SOPs to accelerate secure backend design across services, databases, and APIs.

How do I implement security and observability constraints during server-side development?▼

Security and observability constraints are implemented via domain SOPs that mandate structured logging and strict architectural rules. Injecting these guidelines during server-side development ensures secure, scalable systems and prevents data leakage.

When do I need dependency injection and DTO serialization in backend architecture?▼

Dependency injection and DTO serialization are needed when building scalable API services and microservices to ensure proper layering. Specifying these architectural constraints decouples components, standardizes data transfer, and prevents data leakage across layers.