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backend-performance

Diagnose server-side bottlenecks in API latency, database queries, and memory usage.

4|Updated Apr 9, 2026
Search Tags:#profiling#query-optimization#memory-leaks#n+1-queries#backend-performance#api-latency
One-click install
npx skills add https://github.com/thejordanleopold/claude-code-skills-distilled --skill backend-performance-thejordanleopold
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backend-performance
Source: https://github.com/thejordanleopold/claude-code-skills-distilled/tree/main/backend-performance
Command: npx skills add https://github.com/thejordanleopold/claude-code-skills-distilled --skill backend-performance-thejordanleopold

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams measure, diagnose, and fix slow server-side operations by focusing on root causes rather than symptoms.

Core Features & Use Cases

  • Baseline measurement and regression detection for API latency, memory, and CPU.
  • Targeted bottleneck diagnosis across APIs, databases, and memory usage.
  • Structured optimization guidance with guardrails and measurable outcomes.

Quick Start

Take a baseline of API latency and memory usage, then follow the diagnosis flow to identify and fix the bottleneck.

Frequently Asked Questions about backend-performance

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

FAQPage Schema
How do I diagnose high API latency in my production backend services?▼

Diagnose API latency by taking a baseline measurement of your server-side operations, then follow a structured decision tree to pinpoint bottlenecks across APIs, databases, and memory for safe, auditable fixes.

What is the best way to identify and fix n+1 queries causing slow endpoints?▼

Identify n+1 queries causing slow endpoints by measuring query counts against a baseline, then applying targeted database query optimization guidance with guardrails to ensure measurable performance outcomes.

How do I detect and resolve memory leaks across my production services?▼

Detect memory leaks by establishing a baseline of memory usage, then using structured bottleneck diagnosis to identify abnormal memory consumption patterns and apply concrete tooling recommendations for safe fixes.

Do I need baseline measurements before optimizing backend performance?▼

Yes, baseline measurement is required before optimizing backend performance, as it enables regression detection for API latency, memory, and CPU, and ensures that any fixes applied produce measurable, auditable performance gains.

Why does my server-side performance optimization lack measurable gains?▼

Server-side performance optimization lacks measurable gains when it targets symptoms instead of root causes; applying a measurement-first workflow with baselines and decision trees ensures bottleneck diagnosis leads to concrete, auditable fixes.

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