This Claude skill is a specialized backend performance auditing tool designed to identify and resolve critical system bottlenecks. It automates the detection of N+1 query patterns, unpaged database fetches, inefficient full-table scans, and blocking AI service calls. By scanning source code with precision, it provides actionable insights to optimize API response times, improve database scalability, and ensure robust system architecture.
Use Cases
Detecting N+1 query issues in loop structures to reduce redundant database round-trips and improve latency.
Identifying missing pagination in repository 'findAll' calls to prevent OutOfMemory (OOM) errors and high memory consumption.
Locating inefficient SQL 'LIKE' patterns that bypass database indexes and cause performance-degrading full table scans.
Auditing AI and third-party service integrations to identify synchronous blocking calls and missing timeout configurations.
Performing automated performance health checks on legacy Java/Spring Boot codebases to generate optimization reports.
name
performance-audit
description
分析后端性能问题,检测 N+1 查询、无分页查询、全表扫描、AI 服务超时等。使用此 Skill 来评估系统性能瓶颈、检测数据库查询问题、或优化 API 响应时间。