identifying-layer-placement

Identify the correct Python architectural layer for code fragments.

Updated Jan 25, 2026

Search Tags:#architecture #infrastructure #Python #service-layer #identify #layer-placement #entry-point

Ready to run

npx skills add https://github.com/gestrich/python-architecture --skill identifying-layer-placement

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: identifying-layer-placement
Source: https://github.com/gestrich/python-architecture/tree/main/plugin/skills/identifying-layer-placement
Command: npx skills add https://github.com/gestrich/python-architecture --skill identifying-layer-placement

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps engineers decide which Python architectural layer a piece of code should live in (Entry Point, Service, Domain, or Infrastructure) to maintain clean separation of concerns.

Core Features & Use Cases

Quick decision tree to determine the appropriate layer for new or refactored code
Clear layer definitions and responsibilities to guide placement
Use cases include adding functionality, refactoring, and resolving placement uncertainty

Quick Start

Describe the code you want placed, and request the target layer.

Frequently Asked Questions about identifying-layer-placement

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

FAQPage Schema

How do I identify the correct architectural layer for a Python code fragment?▼

To identify the correct architectural layer for Python code, describe the functionality to place, and the skill applies a decision tree mapping it to Entry Point, Service, Domain, or Infrastructure layers to maintain separation of concerns.

What is the difference between Service layer and Domain layer in Python architecture?▼

The difference between Service and Domain layers in Python architecture centers on responsibilities; the skill provides clear layer definitions to distinguish business logic orchestration in the Service layer from core rules in the Domain layer.

When do I need to enforce layer boundaries during Python refactoring?▼

You need to enforce layer boundaries during Python refactoring when adding new features or when layer ownership is unclear, ensuring code fragments are placed correctly to maintain clean separation of concerns across architectural layers.

What's the best way to determine where new functionality belongs in a Python service architecture?▼

The best way to determine where new functionality belongs in a Python service architecture is applying a concise decision tree that evaluates code against Entry Point, Service, Domain, and Infrastructure layer definitions to resolve placement uncertainty.

Can I use this layer placement approach for Python code without external dependencies?▼

Yes, you can use this layer placement approach for Python code without external dependencies, as the skill operates independently using a decision tree and layer definitions to guide architectural placement.

Why does layer ownership become unclear when adding features to Python applications?▼

Layer ownership becomes unclear when adding features to Python applications because responsibilities overlap across Entry Point, Service, Domain, and Infrastructure layers, making it difficult to maintain clean separation of concerns without explicit boundary enforcement.