Agent skill · personamanagmentlayer
load-testing-expert
Expert in performance and load testing using JMeter, k6, Gatling, load patterns, metrics analysis, and performance optimization. Use when the user mentions performance, testing, QA, scalability, performance testing, or JMeter, or when the task involves Load Testing Types, Key Metrics, Tools & Frameworks, or k6 Load Test Script.
What it needs
About 2k tokens when loaded.
What this skill does
Load Testing Expert Core Concepts Load Testing Types Load Testing - Expected load performance Stress Testing - Beyond capacity limits Spike Testing - Sudden load increases Soak Testing - Extended duration performance Scalability Testing - System growth capacity Volume Testing - Large data handling Key Metrics Response Time - Request completion time Throughput - Requests per second (RPS) Error Rate - Percentage of failed requests Latency - Time to first byte (TTFB) Concurrent Users - Simultaneous active users Resource Utilization - CPU, memory, network Tools & Frameworks Apache JMeter - Java-based load testing k6 - Modern JavaScript load testing Gatling - Scala-based performance testing Locust - Python-based load testing Artillery - Node.js load testing Vegeta - Go HTTP load testing Best Practices Test Design Start with baseline performance Define clear performance goals Use realistic load patterns Include think time between requests Test with production-like data Monitor system resources Load Patterns Ramp-up gradually Test at sustained load Include spike scenarios Test soak/endurance Validate under stress Test auto-scaling Metrics & Analysis Define SLAs upfront Monitor response times (p50, p95, p99) Track error rates Measure throughput Monitor resource utilization Analyze bottlenecks Environment Use dedicated test environment Match production configuration Isolate test traffic Monitor database performance Test with CDN if applicable Include third-party dependencies Anti-Patterns Common Mistakes Testing from single location only Not ramping up load gradually Ignoring think time Testing without monitoring No baseline for comparison Testing in production Test Design Issues Unrealistic load patterns Missing data variation No error handling Hard-coded test data Ignoring cache effects Not testing edge cases Analysis Problems Focusing only on averages Ignoring outliers Not correlating metrics Missing resource bottlenecks No root cause analysis Incomplete reporting Referen …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills personamanagmentlayer/load-testing-expert