Individual skill
throttling-apis
Implement API throttling policies to protect backend services from overload. Use when controlling API request rates. Trigger with phrases like "throttle API", "control request rate", or "add throttling".
skills/.curated/throttling-apis/SKILL.md
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SKILL.mdcore · 5,178 bytesreferences/errors.mddoc · 1,059 bytesreferences/examples.mddoc · 6,113 bytesreferences/implementation.mddoc · 1,569 bytes
Read excerpt
# Throttling APIs
## Overview
Implement API throttling policies that protect backend services from overload by controlling request concurrency, queue depth, and processing rates. Apply backpressure mechanisms including concurrent request limits, priority queues, circuit breakers, and adaptive throttling that adjusts limits based on real-time backend health metrics.
## Prerequisites
- Middleware-capable web framework (Express, FastAPI, Spring Boot, Gin)
- Redis or in-memory store for distributed throttle state tracking
- Monitoring system exposing backend latency and error rate metrics (Prometheus, CloudWatch)
- Load testing tool (k6, Artillery, wrk) for validating throttle behavior under pressure
- Queue system for request buffering during throttle events (optional: Bull, SQS)
## Instructions