review-perf

Analyze code for performance bottlenecks and provide severity-ranked fixes.

1|Updated Jan 18, 2026

Search Tags:#code review #performance #optimization #bottlenecks #memory leaks #database queries #algorithmic complexity

Ready to run

npx skills add https://github.com/nielsmadan/agentic-coding --skill review-perf

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review-perf
Source: https://github.com/nielsmadan/agentic-coding/tree/main/claude/skills/review-perf
Command: npx skills add https://github.com/nielsmadan/agentic-coding --skill review-perf

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill identifies and helps fix performance bottlenecks in code, such as algorithmic complexity issues, memory leaks, inefficient database queries, and slow UI rendering.

Core Features & Use Cases

Performance Auditing: Analyzes code for common performance anti-patterns.
Bottleneck Identification: Pinpoints specific areas causing slowdowns.
Optimization Suggestions: Provides actionable recommendations and code examples for improvement.
Use Case: Before deploying a new feature with complex data processing, use this Skill to ensure it runs efficiently and doesn't degrade user experience.

Quick Start

Review the performance of the code currently in context.

Frequently Asked Questions about review-perf

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

FAQPage Schema

How do I find and fix N+1 database queries in my code?▼

To fix N+1 database queries, this Skill analyzes your code to pinpoint inefficient data fetching patterns and provides actionable code recommendations to optimize the queries.

How do I detect memory leaks before deploying a new feature?▼

You can detect memory leaks by running a performance audit on your code in context, which identifies memory management anti-patterns and categorizes them by severity with specific fixes.

What is the best way to identify algorithmic complexity bottlenecks?▼

The best way to identify algorithmic complexity bottlenecks is to analyze the code for performance inefficiencies, targeting slow operations and providing detailed findings categorized by severity.

Can I audit UI rendering and network I/O performance with this approach?▼

Yes, you can audit UI rendering and network I/O performance because the analysis explicitly targets these areas alongside database queries and memory management to resolve slow blocking operations.

How do I get code optimization suggestions for slow performance?▼

To get code optimization suggestions, the Skill evaluates your current code context, identifies common performance anti-patterns, and outputs actionable fixes with code examples for improvement.