name: performance-review description: 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.
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.
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Skill Details
GitHub Stars
2
GitHub Forks
0
Created
Jan 2026
Last Updated
il y a 5 mois
tools
tools debugging
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