What caching patterns are included?

It covers cache-aside and write-through patterns, emphasizing the use of TTL (Time-To-Live) to prevent stale data and memory exhaustion.

How does it improve Node.js responsiveness?

It implements strategies to offload CPU-bound tasks to Worker Threads and uses setImmediate for chunked processing, ensuring the event loop remains unblocked.

How does this skill help with database N+1 problems?

The skill provides specific patterns for eager loading using JOINs and implementing DataLoader to batch individual data fetches into single, efficient database queries.

When should I start using these performance optimizations?

You should use this skill when response times exceed SLA thresholds or profiling reveals bottlenecks. It emphasizes a 'measure first, optimize second' philosophy using tools like EXPLAIN ANALYZE.

Backend API Performance Optimization

Name: Backend API Performance Optimization
Author: agents-inc

byagents-inc

0•

API 개발

Optimizes backend services through advanced database query tuning, strategic caching, and efficient asynchronous processing patterns.

This skill equips Claude with specialized knowledge to identify and resolve performance bottlenecks in backend applications. It provides standardized implementation patterns for database indexing, connection pool management, N+1 query prevention, and multi-threaded processing for CPU-bound tasks. By applying these patterns, developers can significantly reduce latency, improve throughput, and ensure their applications scale efficiently under high load while adhering to critical resource management best practices like connection release and cache TTLs.

주요 기능

01Event loop optimization via Worker Threads and chunked processing

02N+1 query prevention using eager loading and DataLoader batching patterns

03Robust connection pooling with guaranteed resource release logic

04Strategic database indexing including composite, partial, and covering indexes

05Scalable caching implementations using cache-aside and write-through strategies

060 GitHub stars

사용 사례

01Reducing API response times for high-traffic endpoints with complex data relationships

02Scaling database interactions to prevent connection pool exhaustion and table scans

03Offloading CPU-intensive logic to background threads to maintain application responsiveness

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agents-inc/skills api-performance-api-performance

For use in Claude.ai and ChatGPT

Download Skill