backend-code-review

Review Python code in the 7Flows api/ directory for architectural and security risks.

239|19|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/taichuy/7flows --skill backend-code-review-taichuy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend-code-review
Source: https://github.com/taichuy/7flows/tree/main/.agents/skills/backend-code-review
Command: npx skills add https://github.com/taichuy/7flows --skill backend-code-review-taichuy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the need for high-quality, secure, and maintainable backend code within the 7Flows project, ensuring adherence to architectural principles and best practices.

Core Features & Use Cases

  • Code Auditing: Performs in-depth reviews of Python code in the api/ directory, focusing on API routes, runtime logic, data models, and infrastructure.
  • Risk Analysis: Identifies potential architectural deviations, security vulnerabilities, and performance bottlenecks.
  • Improvement Suggestions: Provides actionable recommendations for code refactoring and adherence to project-specific rules.
  • Use Case: Before merging a new feature that modifies the workflow execution engine, use this Skill to ensure the changes align with the 7Flows IR principles and don't introduce runtime instability.

Quick Start

Use the backend-code-review skill to review the Python code in the file '/api/app/services/runtime.py'.

Frequently Asked Questions about backend-code-review

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

FAQPage Schema
How do I review Python backend code for architectural drift and security vulnerabilities?

You can review backend Python code by analyzing API routes, runtime services, data models, and infrastructure components against established architectural rules. This comprehensive review identifies architectural drift, security vulnerabilities, and performance bottlenecks.

What is architectural drift in backend Python code and how does a code review identify it?

Architectural drift occurs when API routes and runtime services deviate from established project guidelines. A code review identifies this drift by analyzing the Python codebase against core architectural principles to detect structural deviations and runtime instability risks.

How do I ensure my Python API routes and data models adhere to specific architectural rules?

To ensure Python API routes and data models adhere to architectural rules, conduct a comprehensive code audit against project-specific guidelines. This review provides actionable recommendations for refactoring and verifies adherence to core architectural principles.

Can I use an automated code review to check Python infrastructure components for runtime instability?

Yes, an automated code review can check Python infrastructure components for runtime instability by analyzing the API directory. It specifically targets infrastructure components to identify potential performance bottlenecks and risks related to runtime stability.

What are the limitations of reviewing backend Python code for architectural compliance?

A limitation of reviewing backend Python code for architectural compliance is that the process specifically targets the API directory and core architectural principles. It focuses on identifying risks and suggesting improvements rather than executing automated refactoring across the entire codebase.