data-science-expert

This skill provides advanced test reporting and analytics, including quality dashboards, predictive analytics, and trend analysis for QE metrics. It's designed for communicating quality status, tracking trends, and supporting data-driven decisions. Developers should use it when they need to generate executive reports or analyze quality metrics with a focus on actionable insights.

This skill provides comprehensive dependency mapping and analysis for software projects across multiple package managers. It extracts dependency trees, detects issues, audits for vulnerabilities, and generates visualizations. Use it when you need to understand, analyze, or visualize project dependencies and their security implications.

This Claude Skill provides production-grade data science capabilities using TensorFlow, PyTorch, and Scikit-learn. It handles end-to-end ML workflows from data processing and model development to deployment and statistical analysis. Use this skill for building complete data science solutions with comprehensive experimentation and visualization tools.

This skill builds and maintains an interactive Streamlit playground for the VRP-Toolkit, enabling hands-on learning through exploration and experimentation. Developers should use it when adding new features, integrating algorithms, or enhancing the web-based learning experience. It focuses on letting users visualize problems, configure solvers, and reproduce experiments instead of just reading code.