Skill UI

SimPy is a powerful, process-based discrete-event simulation framework written in Python. It is designed for modeling complex systems where entities interact with shared resources and time-based events occur, such as manufacturing lines, service queues, network traffic, or logistics networks. Use this skill to analyze resource contention, simulate process optimization, conduct capacity planning, and model dynamic system behaviors.

Rowan is a cloud-native workflow platform providing a unified Python API for complex molecular modeling and medicinal chemistry tasks. It handles property prediction (pKa, descriptors), conformational analysis, molecular docking, and molecular dynamics. Users can run scalable, multi-step drug discovery pipelines and batch screening campaigns without managing local high-performance computing infrastructure.

A comprehensive skill for creating, editing, and analyzing complex spreadsheets (.xlsx, .csv, etc.). This skill excels in financial modeling, ensuring all calculations are managed via dynamic Excel formulas rather than hardcoded values. It supports data analysis using pandas, rigorous formatting standards, and complex formula integrity checks, making it ideal for financial reporting and data visualization.

This skill guides the rigorous defense of research design for demographic studies, particularly those linking population dynamics to development outcomes. It assists in selecting and justifying appropriate methods—such as life tables, decomposition, event-history modeling, and age-period-cohort analysis—and critically addresses the identification of causal links between population structure and development progress. It focuses on strengthening the argument by confronting rival hypotheses and establishing methodological rigor, without writing code.

This guide outlines the rigorous standards for quantitative analysis required in academic economic research, particularly dynamic modeling. It provides a framework covering systematic model calibration, moment estimation, numerical solution discipline, and establishing fully reproducible computation workflows, ensuring results are highly auditable and verifiable.