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specx-component-architecture

Enforce Specx architectural boundaries for Python service components.

200|35|Updated Jun 17, 2021
Search Tags:#architecture#architecture analysis#service design#boundary enforcement#Specx#Python services
One-click install
npx skills add https://github.com/maksimzayats/specx --skill specx-component-architecture
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: specx-component-architecture
Source: https://github.com/maksimzayats/specx/tree/main/.agents/skills/specx-component-architecture
Command: npx skills add https://github.com/maksimzayats/specx --skill specx-component-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures consistent architectural boundaries within Specx-based Python services, helping developers manage and enforce structure across multiple components.

Core Features & Use Cases

  • Scope Boundary Management: Defines and enforces clear boundaries for components such as services, capabilities, gateways, and repositories.
  • Decision Rules: Provides guidelines for class naming, service behavior, and data structure, aiding in the design of scalable services.
  • Boundary Model: Outlines the recommended structure for services, including core, infrastructure, delivery, and shared components.
  • Use Case: Use this Skill to ensure that a new feature in a Specx service adheres to the established architecture standards, such as properly scoped services and correct data handling.

Quick Start

Analyze the architecture of the 'order_service' component using the specx-component-architecture skill.

Frequently Asked Questions about specx-component-architecture

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

FAQPage Schema
How do I enforce architecture boundaries in Python services?▼

Architecture boundaries in Python services are enforced by applying decision rules for class naming and component structure. This ensures proper separation across services, capabilities, gateways, and repositories to maintain scalable service design.

What is the recommended boundary model for Specx services?▼

The Specx boundary model outlines a recommended service structure comprising core, infrastructure, delivery, and shared components. This model defines clear scope boundaries to manage data handling and service behavior consistently across applications.

How do I check if a new feature adheres to Specx architecture standards?▼

Check Specx architecture standards by analyzing the component against scope boundary guidelines. Verify that class naming, service behavior, and data structure align with established boundaries for services, capabilities, gateways, and repositories.

Do I need to understand the Specx framework to manage component structure?▼

Yes, managing component structure requires an understanding of Specx framework concepts. The Skill enforces Specx architectural boundaries in Python services, relying on prerequisite knowledge of its specific service design and boundary guidelines.

What's the best way to define scope boundaries for Python service components?▼

The best way to define scope boundaries for Python service components is using a structured boundary model. It separates core, infrastructure, delivery, and shared components, providing decision rules for proper class naming and data structure.

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