scipy

Advanced scientific computing for portfolio optimization, statistical testing, and numerical methods. Use when minimizing portfolio variance, fitting distributions to returns data, performing correlation analysis, running hypothesis tests, or solving constrained optimization problems. Provides optimization algorithms (BFGS, SLSQP) and statistical distributions essential for risk modeling.

$ Instalar

git clone https://github.com/benchflow-ai/skillsbench /tmp/skillsbench && cp -r /tmp/skillsbench/shared_workspace/portfolio-risk-analysis/environment/skills/scipy ~/.claude/skills/skillsbench

// tip: Run this command in your terminal to install the skill