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.
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。
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