performance-review

name	performance-review
description	Performance optimization analysis: CPU/memory profiling, caching strategies, database query optimization, connection pooling, concurrency patterns, memory leak detection, and throughput improvement. Use when code is slow, memory usage is high, latency needs reduction, or conducting performance reviews before release.
allowed-tools	["Read","Edit","Glob","Grep","Bash"]
model	sonnet
context	fork
argument-hint	<file-or-directory>
iso_class	none

Performance Review Skill

When to Use

• Code performance optimization
• Memory leak fixes
• Throughput improvements
• Performance review requests
• Bottleneck analysis

Performance Analysis Workflow

Profiling → Identify bottlenecks → Optimize → Verify

Checklist

Algorithm & Data Structures

• Time complexity analysis (Big-O)
• Appropriate data structure selection
• Remove unnecessary operations

Memory

• Minimize memory allocation
• Object reuse (pooling)
• Cache-friendly access patterns

Concurrency

• Minimize lock contention
• Leverage async I/O
• Thread pool optimization

Caching

• Appropriate cache strategy
• Cache invalidation policy
• Cache hit rate monitoring

Reference Documents (Import Syntax)

@./reference/performance.md @./reference/memory.md @./reference/concurrency.md @./reference/monitoring.md

Caution

"Premature optimization is the root of all evil" - Donald Knuth

Always confirm bottlenecks through profiling before optimizing.