creating-services

Create Python service classes with constructor-based dependency injection.

Updated Jan 25, 2026

Search Tags:#architecture #python #service #dependency-injection #domain-modeling #composite-service #core-service

Ready to run

npx skills add https://github.com/gestrich/python-architecture --skill creating-services

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps developers create well-structured Python service classes following the Service Layer pattern, enabling clean separation between Core and Composite services and enforcing constructor-based dependency injection.

Core Features & Use Cases

Create focused Core services with explicit dependencies injected via the constructor.
Distinguish Core vs Composite services to orchestrate workflows without leaking infrastructure concerns.
Provide guidelines for method organization, error handling, and testing boundaries.
Real-world example: turning a business rule into a service class that coordinates domain models and repositories.

Quick Start

Define a new ServiceName class with constructor-based dependencies, implement a single business operation, and wire it into the Core layer of your project.

Frequently Asked Questions about creating-services

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

FAQPage Schema

How do I structure Python service classes with clean architecture?▼

Structure Python service classes by adopting the Service Layer pattern to separate business logic, enforcing constructor-based dependency injection and organizing methods to coordinate domain models without leaking infrastructure concerns.

What is the difference between Core and Composite services in Python?▼

Core services contain focused business logic and domain coordination, whereas Composite services orchestrate workflows by combining Core services without leaking infrastructure concerns, ensuring clean architectural layering.

How do I use dependency injection in Python service classes?▼

Apply dependency injection in Python services by defining all required dependencies, such as repositories, explicitly via the class constructor, which discourages internal environment reads and produces testable service boundaries.

When should I refactor business logic into a Python service layer?▼

Refactor business logic into a Python service layer when you need to turn business rules into coordinated operations, separating domain models from infrastructure to enforce consistent method organization and clean testing boundaries.

Does Python service layer architecture require specific frameworks?▼

Python service layer architecture demonstrated here focuses on domain modeling and composite service separation without requiring specific external frameworks, relying solely on standard Python class structures and constructor dependency injection.

Why should services avoid reading environment variables directly?▼

Services should avoid reading environment variables directly to maintain clean separation of concerns, ensuring infrastructure dependencies are explicitly injected via the constructor for consistent testing boundaries and predictable service behavior.