testing-load-balancers

Quick Review

The skill provides a structured framework for load balancer testing with clear steps for setup, execution, analysis, and reporting. However, the description and content are generic and don't specifically address load balancer concepts like failover mechanisms, traffic distribution algorithms, or health checks. The SKILL.md references scripts (config_parser.py, load_balancer_test.py, report_generator.py) that presumably contain implementation details. Structure is reasonable but has redundant sections (multiple 'Overview' headers, generic testing tool references). Novelty is limited as basic load balancer testing can be accomplished with standard CLI tools (curl, ab, wrk) and monitoring, though orchestrating complex multi-endpoint failover scenarios may provide some value. The skill would benefit from load-balancer-specific guidance on testing round-robin vs. least-connections algorithms, session persistence, backend health monitoring, and weighted distribution patterns.