What tools are required to use this skill?

You typically need the k6 load testing tool installed locally and access to your deployment environment (such as a Kubernetes cluster) via kubectl.

Does it support real-time monitoring?

It provides patterns for monitoring CPU, memory, queue depth, and latency metrics to guide capacity planning and real-time scaling decisions.

Can I use this for non-Kubernetes environments?

Yes, while it includes Kubernetes HPA templates, the k6 load testing scripts and connection pooling patterns can be applied to any hosting environment.

How does this skill help with Clay API rate limits?

It includes load testing scripts with k6 to simulate traffic and identify where your integration hits rate limits, allowing you to implement better error handling and scaling strategies.

Clay Performance & Scaling

Name: Clay Performance & Scaling
Author: jeremylongshore

byjeremylongshore

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1,440

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Despliegue y DevOps

Optimizes Clay integrations through automated load testing, Kubernetes auto-scaling configurations, and data-driven capacity planning.

The Clay Load & Scale skill empowers developers to ensure high availability and performance for Clay-driven applications. It provides standardized k6 load testing scripts, Kubernetes Horizontal Pod Autoscaler (HPA) configurations, and connection pooling patterns to handle variable traffic volumes. By integrating performance benchmarking templates and capacity estimation logic, it helps teams move from reactive troubleshooting to proactive infrastructure management, ensuring Clay integrations remain stable under peak loads and scale efficiently during growth.

Características Principales

01Connection pooling patterns for efficient Clay API client resource management

021,440 GitHub stars

03Automated k6 load testing script generation with custom performance thresholds

04Standardized performance benchmarking templates for production readiness reporting

05Kubernetes HPA configurations for horizontal scaling based on CPU and queue depth

06Capacity estimation logic to predict infrastructure needs based on RPS and latency

Casos de Uso

01Stress testing Clay integrations before major product launches or marketing campaigns

02Configuring automated scaling rules to handle fluctuating API request volumes

03Benchmarking system latency and throughput to identify and resolve performance bottlenecks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill