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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill 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.
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