Python Backend Architecture Review

This is a structured framework for getting Claude to systematically review your Python backend's architecture across infrastructure, security, database design, APIs, and code organization. You'd use it when you want feedback on a design doc, need to assess scalability patterns, or want a second opinion on your microservices setup. The approach is comprehensive, covering everything from cloud infrastructure to project structure, which means you're getting a full systems perspective rather than just code-level critique. It's from rknall's skill collection that has 51 stars on GitHub, so there's at least some community validation behind the methodology.

GitHub stars: 58
last updated: Aug 21, 2026

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Install

$ npx -y skills add rknall/claude-skills --skill 'Python Backend Architecture Review' --agent claude-code

Installs into .claude/skills of the current project.

Files

Python Backend Architecture Review

This skill provides comprehensive architecture review capabilities for Python backend applications, covering all aspects of system design from infrastructure to code organization.

When to Use This Skill

Activate this skill when the user requests:

Review of a backend architecture design document
Feedback on system design for a Python application
Analysis of scalability patterns and approaches
Security review of backend architecture
Database design evaluation
API design assessment
Microservices architecture review
Performance optimization recommendations
Cloud infrastructure architecture review
Code organization and project structure analysis

Review Framework

1. Initial Analysis

When a user provides an architecture document or describes their system, begin by:

Understanding Context
- Ask clarifying questions about:
  - Expected scale (users, requests/sec, data volume)
  - Performance requirements (latency, throughput)
  - Security and compliance requirements
  - Team size and expertise
  - Budget constraints
  - Timeline expectations