performance-optimizer

Identify and optimize performance bottlenecks in .NET Core codebases.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/nhahoang1909/MarketNest --skill performance-optimizer-nhahoang1909
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-optimizer
Source: https://github.com/nhahoang1909/MarketNest/tree/main/.claude/skills/performance-optimizer
Command: npx skills add https://github.com/nhahoang1909/MarketNest --skill performance-optimizer-nhahoang1909

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scans the entire codebase to identify performance bottlenecks and provides actionable optimizations to improve speed, memory usage, and scalability across back-end and front-end layers.

Core Features & Use Cases

  • End-to-end performance analysis: Detects hot paths, memory leaks, and CPU-bound sections across C#, Razor, and data access layers.
  • Guided optimization workflow: Recommends concrete refactors, profiling steps, and validation checks, aligned with best practices.
  • What-if scenarios: Suggests safe, incremental changes with measurable impact.

Quick Start

Execute the performance-optimizer on your MarketNest repo to generate a prioritized improvement plan and patch suggestions.

Frequently Asked Questions about performance-optimizer

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

FAQPage Schema
How do I identify performance bottlenecks in a .NET Core monolith using EF Core and Razor Pages?

Identify performance bottlenecks by scanning your codebase to detect hot paths, memory leaks, and CPU-bound sections across C#, data access, and Razor layers. A structured workflow outputs a prioritized improvement plan with concrete changes.

What is the best way to profile and optimize EF Core queries in a monolithic web application?

Optimize EF Core queries using a guided workflow that recommends concrete refactors, profiling steps, and validation checks. It suggests safe, incremental changes with measurable impact to improve speed and scalability across your application.

Can I use an automated workflow to fix performance issues across PostgreSQL and Redis layers?

Yes, you can fix performance issues across PostgreSQL and Redis layers using a structured workflow with phases like REPORT, FIX, and VERIFY. It proposes concrete changes and outputs change logs with validation steps for your stack.

Does performance optimization work with HTMX and Razor Pages on the front-end layer?

Yes, performance optimization works with HTMX and Razor Pages by scanning the entire codebase to detect bottlenecks and provide actionable optimizations across both back-end and front-end layers to improve speed and memory usage.

How do I validate code optimizations and ensure they do not break existing functionality?

Validate code optimizations by applying a deterministic workflow that includes a VERIFY phase. This phase outputs change logs and validation steps, ensuring safe, incremental changes with measurable impact without breaking functionality.