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performance-profiling

Analyze BEAM-based Elixir applications to identify performance bottlenecks.

1|1|Updated Jan 3, 2026
Search Tags:#performance#benchmarking#memory#profiling#elixir#beam#genserver
One-click install
npx skills add https://github.com/layeddie/ai-rules --skill performance-profiling-layeddie
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-profiling
Source: https://github.com/layeddie/ai-rules/tree/main/skills/performance-profiling
Command: npx skills add https://github.com/layeddie/ai-rules --skill performance-profiling-layeddie

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performance profiling helps identify and fix performance bottlenecks in BEAM-based Elixir applications, reducing latency, memory pressure, and CPU usage.

Core Features & Use Cases

  • Benchmarking and measurement with Benchee and StreamData to quantify improvements.
  • BEAM profiling with :eprof, :fprof, and :eper to analyze function calls, system load, and hot paths.
  • Memory profiling and leak detection, GC analysis, and optimization of GenServer/OTP processes.
  • Hot code reloading strategies during development to validate changes without downtime.
  • Scenarios include slow database queries, scheduler warnings, and CPU-intensive workloads.

Quick Start

Analyze BEAM-based Elixir applications to identify performance bottlenecks.

Frequently Asked Questions about performance-profiling

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

FAQPage Schema
How do I profile Elixir BEAM applications to identify performance bottlenecks?▼

Profiling Elixir applications uses :eprof, :fprof, and :eper to analyze function calls and identify hot paths. This pinpoints CPU-intensive workloads and slow database queries to reduce latency and memory pressure.

What is the best way to benchmark Elixir code changes?▼

Benchmarking Elixir code changes uses Benchee and StreamData to quantify performance improvements. These tools measure function execution times to validate that optimizations effectively reduce latency and CPU usage.

How do I detect memory leaks and analyze garbage collection in Elixir?▼

Detecting memory leaks in Elixir requires memory profiling and GC analysis to identify abnormal memory retention. This optimizes GenServer and OTP processes to reduce memory pressure and prevent scheduler warnings.

Can I optimize GenServer and OTP processes to resolve BEAM scheduler warnings?▼

Optimizing GenServer and OTP processes resolves BEAM scheduler warnings by reducing CPU-intensive workloads. Profiling identifies specific processes causing high system load and memory pressure.

Does hot code reloading work for validating performance fixes in Elixir?▼

Hot code reloading validates Elixir performance fixes by applying changes without downtime. This strategy allows developers to implement optimizations and measure results immediately during development.

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