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gaganpasupuleti
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code-review

Review Python and Next.js code for correctness, security, and performance.

Updated Mar 22, 2026
Search Tags:#quality assurance#static analysis#code review#best practices#security#python#nextjs
One-click install
npx skills add https://github.com/gaganpasupuleti/Resume-Matcher --skill code-review-gaganpasupuleti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/gaganpasupuleti/Resume-Matcher/tree/main/.github/skills/code-review
Command: npx skills add https://github.com/gaganpasupuleti/Resume-Matcher --skill code-review-gaganpasupuleti

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses the need for objective, high-quality code reviews that prioritize technical correctness, security, and performance over performative social interactions.

Core Features & Use Cases

  • Technical Checklist: Provides specific verification steps for both Backend (Python/FastAPI) and Frontend (Next.js/React) architectures.
  • Severity Classification: Standardizes feedback using a clear severity format (CRITICAL, ERROR, WARNING, INFO) to prioritize remediation.
  • Use Case: Use this skill before submitting a Pull Request to ensure your code adheres to project-specific standards, such as proper type hinting, async I/O usage, and security best practices.

Quick Start

Use the code-review skill to analyze the current file for potential security vulnerabilities and adherence to project coding standards.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate code review for Python and Next.js before submitting a pull request?▼

To automate code review for Python and Next.js, use this skill to evaluate technical correctness, security vulnerabilities, and performance bottlenecks against project-specific standards. It enforces architectural rules and proper type hinting before pull request submission.

What is the best way to enforce severity levels during static analysis of a Python backend?▼

The best way to enforce severity levels during static analysis is classifying feedback using CRITICAL, ERROR, WARNING, and INFO tiers. This standardizes remediation priority for Python backend code vulnerabilities and performance bottlenecks.

Can I check FastAPI async I/O usage and security vulnerabilities using automated code review?▼

Yes, you can check FastAPI async I/O usage and security vulnerabilities using this code review skill. It verifies technical correctness, proper async I/O implementation, and security best practices across Python backend and Next.js frontend environments.

How does static analysis identify performance bottlenecks in a Next.js frontend codebase?▼

Static analysis identifies performance bottlenecks in a Next.js frontend codebase by evaluating source code against architectural standards and technical checklists. It checks frontend React components for correctness and adherence to performance best practices.

Does code review work with both Python backend and Next.js frontend environments simultaneously?▼

Yes, code review works with both Python backend and Next.js frontend environments simultaneously. It operates across FastAPI and React architectures to provide unified technical correctness, security, and performance verification.

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