performance-profiler
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, runs load tests with k6 and Artillery. Always measures before and after. Use when investigating a slow endpoint, planning a performance budget, or hunting a memory leak in production.
Profile →npx skills add alirezarezvani/claude-skills --skill performance-profiler --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 - App is slow and you don't know where the bottleneck is - P99 latency exceeds SLA before a release - Memory usage grows over time (suspected leak) - Bundle size increased after adding dependencies - Preparing for a traffic spike (load test before launch) - Database queries taking >100ms --- ## Qui
- Overview
- Core Capabilities
- When to Use
- Quick Start
- Golden Rule: Measure First
- Node.js Profiling
- References
Analyze a project for performance risk indicators python3 scripts/performance_profiler.py /path/to/project JSON output for CI integration python3 scripts/performance_profiler.py /path/to/project --json Custom large-file threshold python3 scripts/performance_profiler.py /path/to/project --large-file-threshold-kb 256 Establish baseline BEFORE any optimization
What does the performance-profiler skill do?
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, runs load tests with k6 and Artillery. Always measures before and after. Use when investigating a slow endpoint, planning a performance budget, or hunting a memory leak in production.
How do I install it?
Run `npx skills add alirezarezvani/claude-skills --skill performance-profiler --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.