skills.rest
outcomeeng
outcomeengOFFICIAL
Explore all skills by this author →
WebsiteGitHub

architecting-python

Enforce architecture decision records with testing strategy for Python projects.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Architecture decisions for Python projects are often ad-hoc and inconsistently documented. This skill provides a formal ADR-driven framework that enforces testing alignment, clear boundaries, and a review workflow to ensure durable architectural outcomes.

Core Features & Use Cases

  • Defines a standardized ADR workflow for Python projects, including context, decision, and consequences sections.
  • Enforces testing-first governance by mandating a Testing Strategy within each ADR and alignment with /testing principles.
  • Promotes clean architecture principles (DI, hexagonal/DDD patterns) and explicit boundary definitions to support maintainability and scalability.

Quick Start

Draft ADRs using the template and submit them to the reviewer for validation.

Frequently Asked Questions about architecting-python

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

FAQPage Schema
How do I document Python architecture decisions to enforce testing alignment?▼

Architecture decision records (ADRs) for Python projects enforce testing alignment by mandating a Testing Strategy section within each ADR, ensuring traceable compliance with project testing principles and clear boundary definitions.

What is the best way to structure ADRs for Python projects using hexagonal architecture?▼

ADRs for Python projects structure hexagonal architecture decisions by defining context, decision, and consequences sections, explicitly outlining dependency injection patterns and domain-driven design boundaries to support maintainability and scalability.

Can I use dependency injection patterns in Python without a formal review workflow?▼

Dependency injection patterns can be used independently, but integrating them through an ADR reviewer workflow validates that DI constraints and testing strategies are traceably documented, ensuring durable architectural outcomes for Python systems.

How do I apply domain-driven design boundaries in Python with strict testing requirements?▼

Applying domain-driven design boundaries in Python requires defining explicit architecture constraints in an ADR, specifying the testing strategy for those boundaries, and submitting the record to a reviewer workflow for validation.

Why does my Python architecture lack traceable compliance across testing and design decisions?▼

Python architecture lacks traceable compliance when architecture decisions are ad-hoc and undocumented, preventing alignment between testing strategies and clean architecture principles like dependency injection and hexagonal patterns.

Related Skills

Explore More Software Engineering Skills→
emaarcoemaarco
3

create-adr

Create MADR-format Architectural Decision Records in the docs/adr/ directory.

Community
Intermediate
LeoTechProLeoTechPro
1

architect-role

Define architectural solutions, system constraints, and module dependencies for software projects.

Community
Intermediate
DevXojeDevXoje

clean-architecture

Validate dependency rules and layer boundaries for Clean Architecture compliance.

Community
Intermediate
edumesonesedumesones

architecture-designer

Creates Architecture Decision Records and architecture overviews from project requirements.

Community
Intermediate