python-backend-reviewer

Analyze Python backend code for complexity, duplication, and anti-patterns.

108|10|Updated Dec 29, 2024
One-click install
npx skills add https://github.com/Qredence/agentic-fleet --skill python-backend-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-backend-reviewer
Source: https://github.com/Qredence/agentic-fleet/tree/main/.claude/skills/python-backend-reviewer
Command: npx skills add https://github.com/Qredence/agentic-fleet --skill python-backend-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Python Backend Code Reviewer skill provides expert, architecture-aware analysis to identify over-complexity, duplicated logic, anti-patterns, and deviations from best practices in Python backend code. It helps teams quickly surface high-impact maintainability issues introduced by AI-generated code and guides targeted refactoring.

Core Features & Use Cases

  • Static quality assessment: analyzes code structure, complexity, and duplication to yield actionable remediation guidance.
  • Anti-pattern detection: highlights common Python backend antipatterns (duplication, over-engineering, poor imports) and suggests established refactoring patterns.
  • Guided remediation: references refactoring patterns and best-practices docs to drive concrete improvements with minimal boilerplate.
  • Use Case: during code reviews of a service module, run the tool to identify duplicated logic across endpoints and propose a refactor plan.

Quick Start

Use this skill during code reviews to audit Python backend quality. For immediate results, run:

  • uv run python scripts/detect_duplicates.py path/to/code
  • uv run python scripts/complexity_analyzer.py path/to/code
  • uv run python scripts/analyze_imports.py path/to/code
  • uv run python scripts/concurrency_analyzer.py path/to/code

Frequently Asked Questions about python-backend-reviewer

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

FAQPage Schema
How do I detect code duplication and complexity in Python backend services?

Python backend code review identifies over-complexity, duplicated logic, and anti-patterns by applying static analysis to code structure. It surfaces high-impact maintainability issues introduced by AI-generated code and guides targeted refactoring.

How do I review AI-generated Python code for anti-patterns and poor imports?

You can review AI-generated Python code for anti-patterns by running an architecture-aware analyzer that checks for over-engineering, poor imports, and duplication, then references established refactoring patterns to drive concrete improvements.

Can I analyze concurrency safety and async components in a Python API codebase?

Yes, you can analyze concurrency safety and async components in a Python API codebase by running a dedicated concurrency analyzer script that audits backend services for concurrency issues and deviations from best practices.

What is the best way to refactor Python backend code to reduce over-engineering?

The best way to refactor Python backend code for over-engineering is to use an automated reviewer that identifies anti-patterns and provides guided remediation referencing established best-practices docs to ensure minimal boilerplate.

Do I need specific dependencies to run static analysis on Python backend code?

No specific external dependencies are required to run static analysis on Python backend code. You can execute the included analysis scripts using the uv run command directly against your target code path.