Why are idempotency keys important for rate limiting?

Idempotency keys ensure that if a request is retried due to a rate limit error or network timeout, the server only processes the operation once, preventing duplicate data creation.

What is the benefit of exponential backoff with jitter?

It prevents multiple clients from retrying simultaneously—known as the thundering herd problem—which reduces server load and increases the success rate of retried requests.

Can I monitor my remaining Windsurf API capacity?

Yes, the skill provides a RateLimitMonitor class that tracks X-RateLimit-Remaining and X-RateLimit-Reset headers to proactively throttle requests.

How does this skill handle different Windsurf account tiers?

The skill includes a detailed reference for Free, Pro, and Enterprise tiers, allowing developers to implement logic that adapts to specific requests-per-minute and daily limits.

Windsurf Rate Limit Handler

Name: Windsurf Rate Limit Handler
Author: Brmbobo

byBrmbobo

Desarrollo de API

Implements robust rate limiting, exponential backoff, and idempotency patterns for Windsurf API integrations.

Acerca de

This skill provides specialized guidance for managing Windsurf API constraints, ensuring applications remain resilient under heavy load. It offers production-ready implementation patterns for exponential backoff with jitter to prevent 'thundering herd' issues, deterministic idempotency keys for safe operation retries, and monitoring tools for X-RateLimit headers. It is an essential utility for developers building enterprise SaaS applications that require high reliability and optimized throughput when interacting with Windsurf services.

Características Principales

Deterministic idempotency key generation to prevent duplicate operations
Exponential backoff with randomized jitter for smart retry logic
0 GitHub stars
Header-based monitoring to proactively throttle requests before hitting limits
Pre-configured rate limit tier mapping for Free, Pro, and Enterprise accounts
Queue-based request management integration using p-queue

Casos de Uso

Optimizing API request throughput for high-volume data synchronization tasks
Ensuring safe retries of state-changing operations via idempotency headers
Gracefully handling 429 Too Many Requests errors in Windsurf applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast windsurf-rate-limits

For use in Claude.ai and ChatGPT

Download Skill

GitHub