Expert in creating charts, dashboards, and data visualizations using modern libraries

Structure Vue 3 applications using Composition API, component organization, and TypeScript. Use when building scalable Vue applications with proper separation of concerns.

Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.

Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with SQL statements.

Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

Transform CSV/Excel data into narrative reports with auto-generated insights, visualizations, and PDF export. Auto-detects patterns and creates plain-English summaries.

Implement strong encryption using AES, RSA, TLS, and proper key management. Use when securing data at rest, in transit, or implementing end-to-end encryption.

Expert in data forensics, anomaly detection, audit trail analysis, fraud detection, and breach investigation

Analyzes and optimizes content structure including header

Analyzes and optimizes content structure including header

Analyzes and optimizes content structure including header

Everyday data transformations using functional patterns - arrays, objects, grouping, aggregation, and null-safe access

Data warehouse design mastery with star schema, dimensional modeling, fact/dimension tables, slowly changing dimensions, and enterprise best practices. Complete schema examples included.

Structural validation and damage systems for Three.js building games. Use when implementing building stability (Fortnite/Rust/Valheim style), damage propagation, cascading collapse, or realistic...

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code...

Infrastructure and practices for reproducible computational research. Covers environment management, data versioning, code documentation, and sharing protocols that enable others to reproduce your...

Use when implementing or modifying data analysis backend features including endpoints, aggregations, dimensions, or formatters. Ensures Clean Architecture principles, three-layer separation...

Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

Query ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.

Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.