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performance-profiling

Diagnoses software bottlenecks and memory leaks using a 10-phase workflow.

3|Updated Feb 24, 2026
Search Tags:#performance profiling#latency reduction#database optimization#code optimization#memory leak detection#caching strategy#slow code
One-click install
npx skills add https://github.com/Doumajnik/template --skill performance-profiling-doumajnik
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-profiling
Source: https://github.com/Doumajnik/template/tree/main/.github/skills/performance-profiling
Command: npx skills add https://github.com/Doumajnik/template --skill performance-profiling-doumajnik

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates guesswork when optimizing slow software, resolving unexplained memory leaks, and establishing reliable performance baselines that prevent regressions and improve end-user experience.

Core Features & Use Cases

  • 10-Phase Systematic Workflow: Covers baseline measurement, CPU/memory hotspot identification, algorithmic complexity review, database profiling, I/O analysis, caching strategy design, and regression testing.
  • Cross-Language Tooling Guidance: Includes reference materials for profiling tools across Python, Node.js, Go, Rust, Java, and general cross-platform utilities.
  • Use Case: If your e-commerce checkout endpoint has a 950ms p95 latency, this Skill guides you to profile CPU usage, find the hotspot in the payment processing function, fix an N+1 database query, add a Redis cache for product pricing, and verify the latency drops to under 200ms.

Quick Start

Use the performance-profiling skill to investigate the slow user authentication flow and reduce its p95 latency to under 150ms.

Frequently Asked Questions about performance-profiling

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

FAQPage Schema
How do I fix slow code and memory leaks without guessing what to optimize?▼

Fix slow code and memory leaks through systematic performance profiling that mandates baseline measurement, one-change-at-a-time implementation, and load testing to validate improvements and prevent regressions.

What is the best way to reduce high p95 latency in a backend web service?▼

Reducing p95 latency requires systematic profiling across CPU usage, database queries, and I/O operations. A structured workflow helps identify hotspots, fix inefficient queries, and design caching strategies to verify latency drops.

How do I profile CPU usage and memory hotspots across different programming languages?▼

Profile CPU usage and memory hotspots using cross-language tooling guidance provided for Python, Node.js, Go, Rust, and Java, enabling measurement-driven optimization across web services and distributed systems.

How do I resolve N+1 database queries causing bottlenecks in my application?▼

Resolve N+1 database queries causing bottlenecks by applying database query profiling and caching strategy design within a 10-phase systematic workflow, verifying query optimization through load testing to prevent regressions.

Can I use this performance profiling workflow for distributed systems and microservices?▼

Yes, this performance profiling workflow applies to backend applications, web services, and distributed systems, enforcing measurement-driven optimization for latency reduction, throughput improvement, and memory analysis tasks.

Why should I establish a performance baseline before making code optimizations?▼

Establish a performance baseline before making code optimizations because the structured workflow mandates measurement-driven changes and load testing to validate improvements, preventing speculative changes and regressions.

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