npx claudepluginhub plurigrid/asi --plugin asiThis skill uses the workspace's default tool permissions.
Generates phase portraits showing vector fields and trajectories in 2D state space.
Generates bifurcation diagrams for dynamical systems like logistic maps, Hopf, pitchfork, and saddle-node bifurcations. Use for parameter sweeps, stability boundaries, and visualizing behavior transitions.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Share bugs, ideas, or general feedback.
Generates phase portraits showing vector fields and trajectories in 2D state space.
PLUS (+1) Generator - creates visual outputs from differential equations.
import numpy as np
import matplotlib.pyplot as plt
def phase_portrait(f, xlim=(-3,3), ylim=(-3,3), density=20):
x = np.linspace(*xlim, density)
y = np.linspace(*ylim, density)
X, Y = np.meshgrid(x, y)
U, V = f(X, Y)
plt.streamplot(X, Y, U, V, density=1.5)
plt.xlabel('x'); plt.ylabel('y')
# Van der Pol oscillator
phase_portrait(lambda x, y: (y, -x + (1 - x**2) * y))
Forms triad with:
bifurcation (0): detects transitionsbifurcation-generator (+1): parameter spacephase-portrait-generator (+1): state space