API Rate Limiting

•
239
•

Implements robust API rate limiting algorithms and middleware to protect endpoints from abuse, traffic spikes, and denial-of-service attacks.

API rate limiting is critical for safeguarding web services against denial-of-service attacks, brute force attempts, and runaway client requests while ensuring fair resource distribution. This skill guides Claude Code in implementing industry-standard rate limiting patterns such as Token Bucket, Sliding Window, and Fixed Window algorithms, integrating Express middleware, configuring standard rate-limit response headers, and architecting tiered or distributed limits using Redis. It is especially useful when securing public APIs, implementing subscription-based usage quotas, or stabilizing backend infrastructure under heavy traffic.

Key Features

01Tiered rate limiting strategies for multi-tenant and subscription-based plans
02239 GitHub stars
03Express middleware setup for Node.js API protection
04Standard HTTP rate-limiting header formatting including X-RateLimit and Retry-After
05Best practices for distributed rate limiting with Redis
06Implementation patterns for Token Bucket, Sliding Window, and Fixed Window algorithms

Use Cases

01Preventing backend service degradation during high-concurrency traffic spikes
02Enforcing tiered API quotas for SaaS monetization and subscription plans
03Securing public-facing endpoints against DDoS, brute force, and credential stuffing attacks