Does it handle API connection management?

Yes, the skill provides implementation patterns for connection pooling to prevent resource exhaustion and ensure consistent throughput.

What load testing tools does this skill support?

The skill primarily utilizes k6 for performance testing, offering pre-configured scripts for ramp-up, steady-state, and stress testing scenarios.

Can I use this for Kubernetes environments?

Yes, it includes standardized HPA configurations to scale your Retell AI deployment based on CPU utilization and custom metrics like queue depth.

How does it help with capacity planning?

It provides a programmatic estimation model to calculate maximum RPS, system headroom, and specific scaling recommendations based on your current metrics.

Retell AI Load & Scale

Name: Retell AI Load & Scale
Author: jeremylongshore

byjeremylongshore

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1,206

Deployment & DevOps

Implements performance testing, auto-scaling configurations, and capacity planning strategies for Retell AI integrations.

About

This skill provides comprehensive tools and patterns for ensuring high availability and performance of Retell AI implementations. It automates the creation of k6 load testing scripts, configures Kubernetes Horizontal Pod Autoscalers (HPA) using custom metrics, and establishes capacity planning frameworks to prevent service degradation. Whether you are preparing for a product launch or managing a high-traffic voice AI application, this skill helps you benchmark latency, manage connection pools, and define clear scaling strategies based on real-time performance data.

Key Features

1,206 GitHub stars
Automated k6 load testing script generation with custom performance thresholds
Standardized capacity planning models and headroom calculation logic
Connection pooling patterns to optimize API resource management and throughput
Kubernetes Horizontal Pod Autoscaler (HPA) configurations for resource-based scaling
Performance benchmarking templates for documenting P95/P99 latency and success rates

Use Cases

Performing periodic capacity audits to optimize infrastructure costs and performance
Configuring auto-scaling rules based on queue depth and CPU utilization
Running stress tests before a production launch of a voice-AI application

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills retellai-load-scale

For use in Claude.ai and ChatGPT

Download Skill

GitHub