numpy-numerical-analysis-6-numerical-integration
About
This skill provides numerical integration capabilities using NumPy, specifically implementing the 4th-order Runge-Kutta method for solving ordinary differential equations. It's designed for time-stepping integration problems where you need to compute solutions to ODEs given derivative functions and initial conditions. Developers should use this when they need to numerically integrate dynamical systems or differential equations in their data analysis workflows.
Quick Install
Claude Code
Recommendednpx skills add vamseeachanta/workspace-hub -a claude-code/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/numpy-numerical-analysis-6-numerical-integrationCopy and paste this command in Claude Code to install this skill
GitHub Repository
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