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Found 38 Skills
Performance testing specialist for load testing, stress testing, and performance optimization across applications and infrastructure
Gatling load testing for APIs. Use for load testing.
Bottleneck Identifier - Auto-activating skill for Performance Testing. Triggers on: bottleneck identifier, bottleneck identifier Part of the Performance Testing skill category.
Artillery Config Generator - Auto-activating skill for Performance Testing. Triggers on: artillery config generator, artillery config generator Part of the Performance Testing skill category.
Web Vitals, Lighthouse CI, bundle optimization, CDN, caching, and load testing
Quick API endpoint testing with comprehensive request/response validation.
Performance and load testing patterns — k6 load tests, Locust stress tests, pytest execution optimization (xdist parallel, plugins), test type classification, and performance benchmarking. Use when writing load tests, optimizing test execution speed, or setting up pytest infrastructure.
Expert knowledge for Azure App Testing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure Load Testing with VNets/private endpoints, JMeter/Locust/Playwright, CI/CD pipelines, or Playwright Workspaces, and other Azure App Testing related development tasks. Not for Azure Test Plans (use azure-test-plans), Playwright Workspaces (use azure-playwright-workspaces), Azure DevOps (use azure-devops), Azure App Service (use azure-app-service).
Validates deployed TrueFoundry services with health checks, endpoint smoke tests, and optional load soak tests. Covers REST APIs and web apps.
This skill should be used when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Use for Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
Test application performance, scalability, and resilience. Use when planning load testing, stress testing, or optimizing system performance.