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GitHub Skill

performance-review

Provides performance optimization guidelines for profiling, caching, memory management, and concurrency. Use when optimizing slow code, fixing memory leaks, improving throughput, or conducting performance reviews.

kcenon☆ 2 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

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.

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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