What languages does the Performance Review skill support?

The skill is language-agnostic and can analyze performance patterns across most programming languages, including specific optimizations for JavaScript, Python, and SQL.

Does it detect database-specific issues?

Yes, it is specifically designed to identify N+1 query patterns, missing indexes, and inefficient join operations that slow down data-heavy applications.

Can it help with Big O analysis?

Yes, it evaluates both Time and Space complexity to identify inefficient operations (like O(n²) loops) and suggests more scalable alternatives.

How does it report its findings?

It generates a structured performance report that includes a bottleneck analysis, expected performance gains, and a prioritized implementation plan.

Performance Review

Name: Performance Review
Author: Protagonistss

byProtagonistss

协作工具

Analyzes code for performance bottlenecks, evaluates resource efficiency, and provides actionable optimization recommendations.

关于

The Performance Review skill empowers Claude to perform deep diagnostic audits on software code, focusing on algorithmic complexity, resource consumption, and concurrency issues. It identifies common anti-patterns like N+1 database queries, inefficient DOM manipulations, and memory leaks, offering optimized code alternatives and structured performance reports. Whether you are debugging slow API endpoints or preparing for high-load production environments, this skill provides the benchmarks and strategies needed to ensure your applications run at peak efficiency.

主要功能

Algorithmic complexity analysis (Time and Space)
Database query and indexing optimization
Resource usage evaluation for CPU, Memory, and I/O
Concurrency and thread-safety auditing
Standardized performance reporting with KPIs
0 GitHub stars

使用场景

Refactoring legacy code to improve response times and reduce infrastructure costs
Auditing high-concurrency logic to prevent race conditions and lock contention
Identifying and fixing N+1 query problems in database-driven applications

关于

主要功能

Algorithmic complexity analysis (Time and Space)
Database query and indexing optimization
Resource usage evaluation for CPU, Memory, and I/O
Concurrency and thread-safety auditing
Standardized performance reporting with KPIs
0 GitHub stars

使用场景

Refactoring legacy code to improve response times and reduce infrastructure costs
Auditing high-concurrency logic to prevent race conditions and lock contention
Identifying and fixing N+1 query problems in database-driven applications