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Which file? Server-only (DB/secrets): +page.server.ts | Universal (runs both): +page.ts | API: +server.ts

Persistence layer patterns for Spring Data JPA repositories, entities, queries, and advanced features. \n \n Create repository interfaces extending JpaRepository with derived queries, custom @Query methods, and automatic CRUD operations \n Configure entity relationships (one-to-one, one-to-many, many-to-many) with appropriate cascade types and fetch strategies \n Implement pagination, sorting, database auditing with timestamps and user tracking, and transaction management \n Optimize performance

Dataset exploration, cleaning, statistical analysis, and visualization in Python or SQL. \n \n Supports CSV, JSON, and SQL data sources with pandas DataFrames and direct database queries \n Covers the full analysis pipeline: data loading, missing value handling, outlier detection, grouping, correlation analysis, and pivot tables \n Includes visualization templates for histograms, boxplots, heatmaps, and time series using matplotlib and seaborn \n Generates structured markdown reports with datase

Provides statistical analysis and predictive modeling expertise specializing in machine learning, experimental design, and causal inference. Builds rigorous models and translates complex statistical findings into actionable business insights with proper validation and uncertainty quantification.

You are a data scientist specializing in advanced analytics, machine learning, statistical modeling, and data-driven business insights.

This skill enables extraction of structured data from any document format using unstructured - a unified library for processing PDFs, Word docs, emails, HTML, and more. Get consistent, structured output regardless of input format.

Low-level plotting library for full customization, ideal for scientific workflows and publication-quality visualizations.

Analyze data in spreadsheets, uncover insights, and create compelling visualizations.

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.

Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, and ML for Earth observation across 70+ topics with 500+ code examples in 8 programming languages.