
Performance Profiler
Drops performance profiling capabilities right into your Claude conversations so you can analyze code bottlenecks without context switching. You paste code or describe what you're working on, and it walks through profiling strategies, identifies hot paths, and suggests optimization approaches. The workflow covers memory profiling, CPU analysis, and runtime measurement techniques across different languages. Honestly most useful when you're debugging something slow but aren't sure where to start looking, or when you need to explain profiling results to someone else. Beats opening five tabs of language-specific profiling docs when you just need quick directional guidance on what to measure.
- skills.sh installs
- 750
- GitHub stars
- 29.5K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add alirezarezvani/claude-skills --skill performance-profiler --agent claude-codeInstalls into .claude/skills of the current project.
Files
Performance Profiler
Tier: POWERFUL
Category: Engineering
Domain: Performance Engineering
Overview
Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks; generates flamegraphs; analyzes bundle sizes; optimizes database queries; detects memory leaks; and runs load tests with k6 and Artillery. Always measures before and after.
Core Capabilities
- CPU profiling — flamegraphs for Node.js, py-spy for Python, pprof for Go
- Memory profiling — heap snapshots, leak detection, GC pressure
- Bundle analysis — webpack-bundle-analyzer, Next.js bundle analyzer
- Database optimization — EXPLAIN ANALYZE, slow query log, N+1 detection
- Load testing — k6 scripts, Artillery scenarios, ramp-up patterns
- Before/after measurement — establish baseline, profile, optimize, verify
When to Use
Sponsors
Details
- Repository
- github.com/alirezarezvani/claude-skills
- Categories
- Backend & APIs, Debugging, Productivity & Planning, Python, Databases
- First seen
- Jun 3, 2026
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