performance-reviewer

Identify performance bottlenecks across frontend, backend, and database code.

3|Updated Jan 29, 2026

Search Tags:#performance #frontend #optimization #backend #profiling #code #analyze

Ready to run

npx skills add https://github.com/peopleforrester/claude-dotfiles --skill performance-reviewer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-reviewer
Source: https://github.com/peopleforrester/claude-dotfiles/tree/main/skills/quality/performance-reviewer
Command: npx skills add https://github.com/peopleforrester/claude-dotfiles --skill performance-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured approach to identify and remediate performance bottlenecks across a codebase, enabling faster, more reliable software.

Core Features & Use Cases

Performance analysis across frontend, backend, and database layers.
Bottleneck identification with practical optimization patterns.
Use Case: before a launch, run a performance review to reduce latency and improve throughput.

Quick Start

Run a quick performance review on your project: identify slow functions, database queries, and render paths, then apply recommended optimizations in a follow-up commit.

Frequently Asked Questions about performance-reviewer

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

FAQPage Schema

How do I identify performance bottlenecks in my frontend and backend code?▼

Performance bottlenecks across frontend, backend, and database layers are identified by analyzing code during reviews and profiling sessions to detect issues like N+1 queries, memory leaks, and render slowdowns, providing actionable optimization recommendations.

What is the best way to fix N+1 queries and unbounded database queries before a launch?▼

Fixing N+1 queries and unbounded database queries involves running a pre-release performance audit to detect slow functions and query patterns, then applying targeted database optimization tooling and recommended patterns in a follow-up commit to reduce latency and improve throughput.

Can I use this performance analysis on multi-language codebases?▼

Yes, performance analysis supports multi-language codebases, detecting bottlenecks across different programming environments and providing guidance for common profiling and query-optimization tooling to tackle render slowdowns and memory leaks effectively.

When do I need to run a performance review on my project?▼

Run a performance review before a launch to reduce latency and improve throughput, or during code reviews and profiling sessions to spot and fix performance bottlenecks like render slowdowns, memory leaks, and slow database queries fast.

How to optimize render slowdowns and memory leaks during code reviews?▼

Optimize render slowdowns and memory leaks during code reviews by applying structured performance analysis to identify slow functions and render paths, then implementing practical optimization patterns and actionable recommendations provided for your specific codebase.