Generates visual phase portraits and vector fields for 2D dynamical systems to analyze state space behavior.
The Phase Portrait Generator skill empowers Claude to visualize complex 2D autonomous systems by generating comprehensive phase portraits. It automates the creation of vector fields, nullclines, and trajectories, providing essential insights into equilibria and system stability. Designed for researchers and engineers working with differential equations, it seamlessly integrates with bifurcation analysis workflows to map state space transitions and dynamical behavior in topological contexts, making it an essential tool for modeling and simulating non-linear systems.
주요 기능
01Plotting of nullclines and system equilibria points
02Seamless integration with bifurcation detection skills
03Trajectory analysis within 2D state space
042 GitHub stars
05Automated vector field visualization for 2D autonomous systems
06High-quality streamplot generation using Matplotlib
사용 사례
01Documenting nonlinear dynamics through automated state space plotting
02Visualizing the behavior of oscillators like the Van der Pol oscillator
03Analyzing stability and equilibrium in chemical or biological dynamical models
