Write optimized SQL queries for any database. AI understands your schema and generates dialect-appropriate queries with safety built in.

Writing complex SQL queries from scratch is time-consuming and error-prone. This skill provides expert SQL patterns and tool usage guidance for DBX Studio to generate accurate, optimized queries across multiple database dialects.

Transform database query results into meaningful charts and graphs. This skill helps Claude Code users create bar charts, line graphs, pie charts, and more directly from SQL queries in DBX Studio.

Transform complex database queries into clear visual insights. This skill helps Claude create charts directly from your data using the generate_chart tool with bar, line, pie, scatter, area, and histogram visualizations.

This skill helps users systematically explore database structures, understand table relationships, and assess data quality through a structured profiling workflow.

Understanding unfamiliar databases takes hours of manual querying. This skill automates schema discovery, data profiling, and quality assessment so you can quickly comprehend any dataset.

This skill provides tools for creating, editing, and analyzing Excel spreadsheets. It handles formulas, formatting, data analysis, and formula recalculation using LibreOffice. Perfect for financial modeling, data processing, and spreadsheet automation tasks.

Working with large datasets that exceed RAM causes memory errors and slow performance. Vaex uses lazy evaluation and memory-mapping to process billions of rows instantly without loading data into memory.

High-dimensional data is difficult to visualize and analyze. UMAP provides fast nonlinear dimensionality reduction that preserves both local and global structure for clear 2D/3D visualizations and effective clustering preprocessing.

Working with transformer models requires understanding pipelines, tokenization, and fine-tuning workflows. This skill provides comprehensive guidance for using the Hugging Face Transformers library across NLP, computer vision, and audio tasks with best practices and code examples.

Graph Neural Networks enable learning from irregular data structures like social networks and molecules. PyTorch Geometric provides a comprehensive toolkit for building, training, and evaluating GNNs with minimal boilerplate code.

Access protein-protein interaction networks from STRING database covering 59M proteins and 20B interactions. Perform functional enrichment analysis, discover interaction partners, and generate network visualizations for systems biology research.

Users need to analyze data with rigorous statistical methods. This skill provides comprehensive guidance for regression models, hypothesis testing, time series analysis, and diagnostic procedures.

Machine learning models often work as black boxes. SHAP provides a unified framework to understand which features drive predictions and how much each feature contributes. This skill helps you compute feature importance, generate visualizations, debug models, and implement explainable AI in your projects.

Building and deploying ML systems to production requires deep expertise in MLOps, model monitoring, and scalable infrastructure. This skill provides world-class guidance for productionizing ML models, implementing RAG systems, and integrating LLMs into production workflows.

Design experiments, build predictive models, and drive data-driven decisions with expert-level data science techniques. This skill provides production-grade frameworks for statistical analysis, feature engineering, and model evaluation.

Design and implement production-grade data pipelines with senior-level expertise. Transform raw data into reliable, scalable analytics infrastructure using Python, SQL, Spark, and modern data stack tools.

Computer vision projects require deep expertise in architectures, optimization, and deployment. This skill provides senior-level guidance for building object detection, segmentation, and real-time vision systems with production best practices.

Seaborn provides complex statistical visualizations with minimal code. This skill helps you create publication-quality charts for exploratory data analysis and presentation.

Time-to-event analysis requires specialized methods for censored data. This skill provides complete guidance on fitting Cox models, Random Survival Forests, and Survival SVMs while properly evaluating predictions with concordance index and Brier score.