Which rate limiting algorithms are supported by this skill?

The skill supports multiple sophisticated strategies including sliding windows, token buckets, and fixed window quotas for flexible traffic management.

Is this suitable for production environments?

Absolutely. It generates production-grade code, including middleware logic, environment variable templates, and comprehensive integration tests.

Can I use this with Node.js and Python APIs?

Yes, the skill is framework-agnostic and provides implementation patterns for popular stacks like Express.js, Fastify, FastAPI, and Flask.

Does it handle error responses automatically?

Yes, it implements standardized 429 Too Many Requests status codes along with Retry-After headers to guide API consumers.

API Rate Limiter

Name: API Rate Limiter
Author: BbgnsurfTech

byBbgnsurfTech

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API Development

Implements robust rate limiting strategies like sliding windows and token buckets to protect backend services from excessive traffic and abuse.

About

The API Rate Limiter skill empowers developers to integrate sophisticated traffic management and protection layers into their backend services. By implementing industry-standard algorithms such as sliding windows and token buckets, it helps prevent API abuse, ensures fair resource allocation, and maintains system stability under heavy load. The skill automates the creation of middleware, configuration of quotas, and the generation of standardized 429 error responses, making it an essential tool for building production-ready, resilient APIs across various frameworks like Express, FastAPI, and Spring Boot.

Key Features

3 GitHub stars
Automated middleware generation for major backend frameworks
Integration-ready configuration for multi-tenant environments
Sophisticated limiting algorithms including sliding windows and token buckets
Pre-configured response headers for rate limit visibility
Standardized 429 error handling and Retry-After logic

Use Cases

Protecting public-facing REST APIs from brute force and denial-of-service attacks
Enforcing tiered usage quotas for SaaS applications and API consumers
Optimizing backend resource consumption by throttling excessive internal requests

About

Key Features

3 GitHub stars
Automated middleware generation for major backend frameworks
Integration-ready configuration for multi-tenant environments
Sophisticated limiting algorithms including sliding windows and token buckets
Pre-configured response headers for rate limit visibility
Standardized 429 error handling and Retry-After logic

Use Cases

Protecting public-facing REST APIs from brute force and denial-of-service attacks
Enforcing tiered usage quotas for SaaS applications and API consumers
Optimizing backend resource consumption by throttling excessive internal requests