backend-architecture

Provides knowledge graphs for backend architecture design focusing on layering and dependency management.

Updated May 20, 2026

Search Tags:#dependency management #DDD #backend architecture #layered architecture #boundary identification

Ready to run

npx skills add https://github.com/munlucky/moonshotnote-skills --skill backend-architecture-munlucky

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: backend-architecture
Source: https://github.com/munlucky/moonshotnote-skills/tree/main/skills/backend-architecture
Command: npx skills add https://github.com/munlucky/moonshotnote-skills --skill backend-architecture-munlucky

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastapi, spring, python-architecture-patterns, domain-driven-design-first-steps, modern-java-in-action, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive knowledge graph for backend architecture design, aiding in structuring layers, dependencies, and boundaries in backend systems.

Core Features & Use Cases

Layered Architecture: Defines the domain, application, interface, and infrastructure layers in backend architecture.
Dependency Management: Offers guidance on dependency direction, inversion, and abstraction boundaries.
Boundary Identification: Helps in identifying and defining clear boundaries between components and layers.
Use Case: When designing a new backend system, use this Skill to understand and apply best practices in layering, dependency management, and boundary identification.

Quick Start

Run the script 'scripts/query_graph.py' to query the backend architecture knowledge graph with the question "How should I structure my backend layers?".

Frequently Asked Questions about backend-architecture

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

FAQPage Schema

How do I structure backend layers and define boundaries in a new system?▼

To structure backend layers, define domain, application, interface, and infrastructure layers, then identify clear boundaries between components. This knowledge graph provides structured guidance on layering and boundary placement to ensure proper separation of concerns in backend architecture design.

What is the correct dependency direction for layered architecture in backend systems?▼

The correct dependency direction in layered architecture flows inward toward the domain layer, with outer layers depending on abstractions rather than concrete implementations. This Skill offers guidance on dependency inversion and managing abstraction boundaries to maintain a clean backend architecture.

When do I need Domain-Driven Design for boundary identification in backend architecture?▼

You need Domain-Driven Design for boundary identification when designing complex backend systems that require clear separation between domain logic and infrastructure. This Skill leverages DDD principles to help identify and define explicit boundaries between components and architectural layers.

Can I use this backend architecture knowledge graph with FastAPI and Spring?▼

Yes, this backend architecture knowledge graph integrates concepts applicable to FastAPI and Spring frameworks. It requires knowledge of Python architecture patterns and Modern Java backend code-quality graphs to output structured answers emphasizing dependency management and boundary placement.

What is the best way to manage dependencies and abstractions across backend layers?▼

The best way to manage dependencies across backend layers is to apply dependency inversion and define abstraction boundaries between the interface, application, domain, and infrastructure layers. This Skill provides a knowledge graph that guides dependency direction and boundary identification for system design.