python-design-modularity

Guides module boundary design, refactoring, and architecture review in Python codebases.

3|1|Updated Nov 30, 2025
One-click install
npx skills add https://github.com/PALabs-v1/AI_friend --skill python-design-modularity-palabs-v1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-design-modularity
Source: https://github.com/PALabs-v1/AI_friend/tree/main/.agents/skills/python-design-modularity
Command: npx skills add https://github.com/PALabs-v1/AI_friend --skill python-design-modularity-palabs-v1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Python codebases often accumulate tangled dependencies, god classes, deep inheritance hierarchies, and unclear module ownership that make changes risky and reviews painful. This Skill provides structured design guidance for defining explicit module contracts, separating concerns, and planning safe refactors. ## Core Features & Use Cases - Module Boundary Design: Enforces explicit ownership of data, invariants, and public interfaces so modules stay independently understandable and evolvable. - Functional Core / Imperative Shell: Separates deterministic business logic from side effects like I/O, logging, and network calls to improve testability. - Safe Refactor Planning: Sequences structural changes separately from behavior changes, with characterization tests and reversible increments. - Use Case: When reviewing a service where business logic is mixed with database calls and a god class spans multiple concerns, use this Skill to propose a composition-based split with clear ownership boundaries and a stepwise migration plan. ## Quick Start Ask the assistant to review your Python package structure and propose a refactoring plan using the python-design-modularity skill.

Frequently Asked Questions about python-design-modularity

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

FAQPage Schema
How do I break apart a god class in Python?

Identify distinct responsibilities and ownership boundaries within the class, then extract them into separate modules with explicit public interfaces. Refactor in small, behavior-preserving increments and add characterization tests before risky moves.

When should I use composition instead of inheritance in Python?

Default to composition for combining capabilities, since deep hierarchies couple unrelated concerns and make reasoning non-local. Use inheritance only when the is-a relationship is genuinely stable and subtype substitution reduces glue code.

What is the Functional Core / Imperative Shell pattern?

It separates deterministic business logic (the core) from side effects like I/O, logging, and network calls (the shell). The core takes external values as parameters and returns plain data, making it unit-testable without mocks.

How do I refactor Python code without breaking behavior?

Separate behavior changes from structural refactors and never mix them in one commit. Move or rename first, then change logic, verifying each small increment with characterization tests and local checks.

When should I split a Python monolith into microservices?

Prefer a modular monolith with strict module boundaries over premature service splits. Use service decomposition only when team or organizational scaling needs exceed what module-level separation can provide.