performance-review

Identify performance risks and generate a prioritized optimization plan.

13|4|Updated Feb 20, 2026

Search Tags:#performance #monitoring #optimization #review #bottlenecks #load-testing

Ready to run

npx skills add https://github.com/OmexIT/claude-skills-pack --skill performance-review-omexit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-review
Source: https://github.com/OmexIT/claude-skills-pack/tree/main/skills/performance-review
Command: npx skills add https://github.com/OmexIT/claude-skills-pack --skill performance-review-omexit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performance reviews identify and quantify performance risks in a feature or PR, enabling targeted optimizations within budgets.

Core Features & Use Cases

End-to-end assessment across backend, database, and frontend paths
Multi-expert analysis to surface bottlenecks, impact estimates, and actionable improvements
Generates a markdown performance review document and a handoff plan for monitoring and maintenance

Quick Start

Run a performance review for the target feature or PR by providing workload, baseline metrics, and constraints to generate a prioritized optimization plan.

Frequently Asked Questions about performance-review

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

FAQPage Schema

How do I identify performance bottlenecks in a backend service or database query?▼

To identify performance bottlenecks, you need a structured assessment comparing measurable baseline metrics against target workloads and SLOs. This process surfaces specific bottlenecks across backend services, database queries, and API surfaces, enabling targeted optimizations within defined performance budgets.

What is a performance review for a feature or pull request?▼

A performance review for a feature or PR is a structured assessment that quantifies performance risks by analyzing bottlenecks, performance budgets, and workloads. It generates a markdown review document and a handoff plan to guide targeted optimizations and ongoing monitoring.

How do I prioritize an optimization plan for frontend render paths and APIs?▼

Prioritizing an optimization plan requires multi-expert analysis to estimate the impact of identified bottlenecks on frontend render paths and APIs. By comparing measurable baselines against SLOs, you generate a prioritized optimization plan that targets the most critical performance risks first.

Do I need measurable baselines and performance budgets to assess performance risks?▼

Yes, assessing performance risks requires measurable baselines, target workloads, and defined performance budgets. Without these inputs, the review cannot accurately quantify bottlenecks or generate a valid, prioritized optimization plan for your backend services or frontend render paths.

Does load testing work with performance reviews for backend services?▼

Load testing provides the target workloads and measurable baselines required for an effective performance review. Integrating load testing data allows the review to accurately assess database queries and API surfaces under defined workloads, producing a structured markdown performance review.

What is the best way to document performance bottlenecks and handoff monitoring plans?▼

The best way to document performance bottlenecks is by generating a structured markdown performance review plus a handoff plan. This approach captures multi-expert analysis of bottlenecks and performance budgets, while detailing the necessary monitoring and maintenance steps for the target feature.