python-service-with-protocol

Build Python services with Protocol-based dependency injection and mock implementations.

1|2|Updated Dec 4, 2025
One-click install
npx skills add https://github.com/co-labs-co/context-harness --skill python-service-with-protocol
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-service-with-protocol
Source: https://github.com/co-labs-co/context-harness/tree/main/.opencode/skill/python-service-with-protocol
Command: npx skills add https://github.com/co-labs-co/context-harness --skill python-service-with-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables developers to implement Python services using the Protocol pattern to decouple interfaces from implementations, making code easier to test and maintain.

Core Features & Use Cases

  • Typed Protocol contracts: Define the external dependencies with precise interfaces for easy swapping of implementations.
  • Dependency Injection (DI): Provide production and mock implementations to enable isolated unit testing without changing business logic.
  • Use Case: Adapt a service to swap backends (memory, API, or file-based) without altering core behavior, improving testability and flexibility.

Quick Start

Define a Protocol for your external dependency, implement a production client, and inject it into your service; for tests, supply a mock client to verify behavior.

Frequently Asked Questions about python-service-with-protocol

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

FAQPage Schema
How do I use Python Protocol for dependency injection in backend services?

Python Protocol dependency injection decouples interfaces from implementations in backend services by enforcing a typed contract, allowing you to inject production clients or swap in mocks for isolated testing without altering business logic.

What is the best way to mock external dependencies for Python unit testing?

Mocking external dependencies for Python unit testing is best handled by defining a typed Protocol contract for your external clients, then supplying optional mock implementations via dependency injection to verify behavior cleanly.

How do I swap backends in a Python service without changing core behavior?

You can swap backends in a Python service by defining a typed Protocol interface for external dependencies, then injecting memory, API, or file-based implementations dynamically to adapt the service without altering core behavior.

Does Python Protocol-based dependency injection require external libraries?

Python Protocol-based dependency injection relies on built-in language features for typed interfaces and requires no external libraries, enabling clean architecture and type-safe contracts natively within your existing Python environment.

When should I use typed interfaces instead of concrete classes for Python dependency injection?

Use typed interfaces for Python dependency injection when you need to swap backends for testing or adapt external dependencies, as Protocol contracts improve maintainability and allow seamless mock implementations without tight coupling.