Performance Testing Skills for AI Agents

Automated performance, accessibility, and SEO auditing with Google Lighthouse

Modern load testing with k6 including thresholds, scenarios, and custom metrics

Modern load testing toolkit with YAML-based scenarios, metrics, and CI/CD integration

Database performance testing including query optimization, index analysis, connection pooling, slow query detection, and N+1 query prevention.

Safe testing-in-production strategies including feature flags, shadow traffic, canary releases, dark launches, and observability-driven development.

Apache JMeter load testing with thread groups, assertions, and distributed testing

CLI tool for persistent browser automation with multi-session support, featuring Chromium/Real/Remote browser modes, cookie management, JavaScript execution, and long-running automation workflows.

Detect and eliminate N+1 query problems in database-backed applications through query counting, execution plan analysis, and ORM configuration auditing

Automated page performance auditing covering Core Web Vitals, resource loading analysis, render-blocking detection, and performance budget enforcement

Modern cloud-scale load testing using Artillery.io for HTTP, WebSocket, Socket.io, and custom protocol testing with YAML-based test definitions.

High-performance load testing using Gatling with Scala/Java DSL for simulating thousands of concurrent users and analyzing response time distributions.

Generate realistic performance test scenarios with load profiles, ramp-up patterns, think times, and acceptance criteria derived from production traffic analysis

Systematic memory profiling and leak detection in applications using heap snapshots, allocation tracking, and garbage collection analysis.

Testing API rate limiting implementations including throttling behavior, burst handling, rate limit headers, and distributed rate limiting patterns.

Testing load balancer configurations including health check validation, routing algorithms, session affinity, failover behavior, and SSL termination.

Identify and diagnose memory leaks in web applications through heap analysis, DOM node counting, detached element detection, and performance profiling

Testing augmented and virtual reality applications including spatial tracking, gesture recognition, performance on headsets, and motion sickness testing.

Verify loading states, skeleton screens, spinners, and progress indicators across all data-fetching scenarios including slow networks, errors, and partial loads

Testing edge computing deployments including latency verification, edge function testing, CDN worker testing, and geo-distributed test execution.

Python-based load testing with Locust for writing user behavior scripts, distributed testing, real-time web UI monitoring, and custom load shapes.

Testing Service Level Agreements and Objectives including availability targets, latency percentiles, error budgets, and automated SLO compliance reporting.

Testing CDN configurations, cache hit ratios, cache invalidation, TTL policies, and edge caching behavior for optimal content delivery.

Frontend performance testing covering bundle size analysis, render performance, animation frame rate, React re-render detection, and lazy loading verification.

Enforcing performance budgets in CI/CD including bundle size limits, load time thresholds, Lighthouse score gates, and resource count limits.

Comprehensive website auditing skill using Lighthouse, PageSpeed Insights, and web performance APIs to audit performance, accessibility, SEO, best practices, and security.

Synthetic monitoring test creation for uptime checking, user journey simulation, API health verification, and multi-region availability testing.

Testing WebAssembly modules including compilation verification, memory management, interop testing, and performance benchmarking of WASM components.

Testing and monitoring Core Web Vitals (LCP, FID, CLS, INP, TTFB) to ensure web performance meets Google search ranking thresholds.

Canary deployment validation testing including traffic splitting, metric comparison, automatic rollback triggers, and health score calculation.

Testing machine learning models including accuracy validation, bias detection, drift monitoring, A/B testing, and model regression testing.

Network latency simulation and testing for measuring application behavior under various network conditions including high latency, packet loss, and bandwidth constraints.

Stress testing methodologies for finding breaking points, resource exhaustion thresholds, and degradation patterns under extreme load conditions.

Enterprise-grade Playwright test automation framework using 8-layer architecture with Page Object Model, Module Pattern, custom fixtures, API testing layer, structured logging, data generators, multi-browser support, Docker, CI/CD pipelines, and custom HTML reporting.