Babysitter ode-solver-library

Numerical methods for ordinary differential equations

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/mathematics/skills/ode-solver-library" ~/.claude/skills/a5c-ai-babysitter-ode-solver-library && rm -rf "$T"

manifest: library/specializations/domains/science/mathematics/skills/ode-solver-library/SKILL.md

ODE Solver Library

Purpose

Provides numerical methods and solvers for ordinary differential equations in mathematical modeling and dynamical systems analysis.

Capabilities

Runge-Kutta methods (explicit and implicit)
Multistep methods (Adams-Bashforth, BDF)
Stiff equation handling
Adaptive step size control
Event detection and root finding
Sensitivity analysis

Usage Guidelines

Stiffness Assessment: Determine if problem is stiff
Method Selection: Choose explicit or implicit methods accordingly
Tolerance Setting: Set appropriate error tolerances
Event Handling: Configure event detection for discontinuities

Tools/Libraries

SUNDIALS
scipy.integrate
DifferentialEquations.jl