1,524 curated testing & debugging skills, agents, commands and plugins — from original author repos, ranked by GitHub signal.
davila7
Configure comprehensive load testing with performance metrics and bottleneck identification
davila7
Setup comprehensive monitoring and observability with metrics, logging, tracing, and alerting
davila7
Setup comprehensive visual regression testing with cross-browser and responsive testing
davila7
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model