搜索

PythonReactSEOPDF
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 仓库 Stars0 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

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.

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-01-20
索引更新时间
2026-01-26
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!