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architecting-python

Generate Architecture Decision Records for Python software design.

1|Updated Jan 6, 2026
Search Tags:#testing#architecture#security#design patterns#python#adr
One-click install
npx skills add https://github.com/outcomeengineering/spx-claude --skill architecting-python-outcomeengineering
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: architecting-python
Source: https://github.com/outcomeengineering/spx-claude/tree/main/plugins/python/skills/architecting-python
Command: npx skills add https://github.com/outcomeengineering/spx-claude --skill architecting-python-outcomeengineering

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you make sound architectural decisions for Python projects, ensuring that your designs are not only functional but also inherently testable and secure.

Core Features & Use Cases

  • ADR Generation: Write Architecture Decision Records (ADRs) that define the structure, patterns, and constraints for your Python code.
  • Testing Strategy Integration: Mandates the inclusion of a comprehensive testing strategy within every ADR, ensuring testability from the ground up.
  • Use Case: When starting a new Python microservice, use this Skill to define its core architecture, including data validation, API design, and how each component will be tested at unit, integration, and E2E levels.

Quick Start

Use the architecting-python skill to write an ADR for a new Python service's data validation strategy.

Frequently Asked Questions about architecting-python

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

FAQPage Schema
How do I write an Architecture Decision Record for a Python project?▼

An Architecture Decision Record (ADR) for Python documents structural decisions by mandating specific design patterns, security considerations, and comprehensive testing strategies to enforce clean architecture principles and modern syntax.

What is the best way to integrate testing strategies into Python architecture design?▼

Integrating testing strategies into Python architecture design requires mandating a comprehensive testing strategy within every ADR, ensuring testability across unit, integration, and E2E levels from the ground up.

How does security-by-design apply to Python microservice architecture?▼

Security-by-design in Python microservice architecture enforces strict ADR creation protocols that mandate specific security considerations and modern syntax, ensuring structural constraints protect components like data validation and API design.

Can I use clean architecture principles to document Python data validation strategies?▼

Yes, you can document Python data validation strategies using clean architecture principles by generating an ADR that mandates strict design patterns, security-by-design, and comprehensive testing strategies for the validation components.

What are the limitations of relying solely on ADRs for Python software design?▼

Relying solely on ADRs for Python software design limits enforcement to documentation, requiring strict adherence to ADR creation protocols and review processes to actually implement the mandated design patterns and testing strategies.

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