A collection of 177 validated scientific skills for AI agents, covering biology, chemistry, medicine, and data analysis, plus 100+ scientific database references.
A curated list of libraries, packages, and resources for quantitative finance across many languages and topics.
A set of Claude Code and Codex skills that run value-investing company research using four investors' methodologies via multi-agent analysis.
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.
A 10-week, 20-lesson beginner curriculum teaching data science through project-based lessons with quizzes and assignments.
Chocolatey and Boxstarter install scripts that set up a Windows reverse engineering and malware analysis VM.
Scripts and Makefile flow that run RTL-to-GDSII physical design end to end using the OpenROAD toolchain.
Public datasets and analysis code behind FiveThirtyEight's published articles and graphics.
Jupyter notebooks and code samples accompanying Wes McKinney's book on data analysis with Python, pandas, and NumPy.