scicomp-skills

Gradient-free optimization using Facebook Research's nevergrad library. Use when performing black-box optimization, hyperparameter tuning, evolutionary optimization, derivative-free optimization, or any task requiring minimization of a function without gradients. Triggers include mentions of "nevergrad", "gradient-free optimization", "black-box optimization", "hyperparameter tuning", "evolutionary algorithm", "CMA-ES", "differential evolution", "particle swarm", or requests to optimize parameters of a simulation, model, or external code without access to derivatives.

Sparse Identification of Nonlinear Dynamical Systems (SINDy) using PySINDy. Use this skill when the user wants to (1) discover governing equations from time-series data, (2) perform sparse regression on dynamical systems, (3) identify ODEs or PDEs from measurement data, (4) use PySINDy for system identification, (5) build SINDy models with different optimizers or feature libraries, (6) simulate or predict dynamical system behavior from discovered equations. Trigger when user mentions SINDy, PySINDy, sparse identification, system identification from data, equation discovery, data-driven dynamics, or governing equation learning.