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

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Deployment & DevOps

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

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

011,206 GitHub stars

02Automated k6 load testing script generation with custom performance thresholds

03Standardized capacity planning models and headroom calculation logic

04Connection pooling patterns to optimize API resource management and throughput

05Kubernetes Horizontal Pod Autoscaler (HPA) configurations for resource-based scaling

06Performance benchmarking templates for documenting P95/P99 latency and success rates

Use Cases

01Performing periodic capacity audits to optimize infrastructure costs and performance

02Configuring auto-scaling rules based on queue depth and CPU utilization

03Running 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