How does this skill help with Perplexity rate limits?

It provides k6 testing scripts to identify your current throughput limits and includes capacity planning logic to recommend scaling actions before limits are hit.

Do I need to have k6 installed to use this skill?

Yes, k6 is required for running the load tests, and the skill provides the necessary scripts and commands to execute them effectively.

Can this skill manage Kubernetes auto-scaling?

It generates the YAML configurations for Horizontal Pod Autoscalers (HPA) tailored to specific Perplexity integration metrics like queue depth and CPU usage.

What metrics does the skill track for capacity planning?

The skill monitors P95 latency, request success rates, CPU utilization, memory usage, and request queue depth to ensure system health and stability.

Perplexity Load Testing & Scaling

Name: Perplexity Load Testing & Scaling
Author: jeremylongshore

byjeremylongshore

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1,242

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Security & Testing

Manages performance testing, auto-scaling configurations, and capacity planning for Perplexity API integrations.

This skill provides a comprehensive framework for ensuring Perplexity-powered applications remain resilient and performant under heavy traffic. It automates the generation of k6 load testing scripts, configures Kubernetes Horizontal Pod Autoscalers (HPA) using custom metrics, and implements capacity planning logic to prevent rate-limiting or resource exhaustion. By integrating connection pooling patterns and standardized benchmarking templates, it helps developers maintain high availability and optimize infrastructure costs for production-grade AI services.

Key Features

01Capacity planning logic for headroom estimation and scaling recommendations

021,242 GitHub stars

03Automated k6 load test script generation with custom performance thresholds

04Connection pooling implementation for optimized API client management

05Kubernetes HPA configuration for dynamic horizontal auto-scaling

06Standardized performance benchmarking and reporting templates

Use Cases

01Generating performance reports to identify latency bottlenecks and resource needs

02Automating infrastructure scaling based on real-time queue depth and CPU utilization

03Simulating high-traffic events to validate Perplexity API integration stability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill