npx claudepluginhub plurigrid/asi --plugin asiThis skill uses the workspace's default tool permissions.
**Trit**: 1 (PLUS)
Analyzes qualitative behavior of solutions near equilibria in dynamical systems theory, covering local/global dynamics, bifurcations, perturbations, and Julia's AlgebraicDynamics.jl integration.
Guides Next.js Cache Components and Partial Prerendering (PPR): 'use cache' directives, cacheLife(), cacheTag(), revalidateTag() for caching, invalidation, static/dynamic optimization. Auto-activates on cacheComponents: true.
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.
Trit: 1 (PLUS) Domain: Dynamical Systems Theory Principle: Stability classification via Jacobian eigenvalues
Eigenvalue Stability is a fundamental concept in dynamical systems theory, providing tools for understanding the qualitative behavior of differential equations and flows on manifolds.
EIGENVALUE_STABILITY: Phase space × Time → Phase space
This skill participates in triadic composition:
using AlgebraicDynamics
# Eigenvalue Stability as compositional dynamical system
# Implements oapply for resource-sharing machines
Skill Name: eigenvalue-stability Type: Dynamical Systems / Eigenvalue Stability Trit: 1 (PLUS) GF(3): Conserved in triplet composition
Condition: μ(n) ≠ 0 (Möbius squarefree)
This skill is qualified for non-backtracking geodesic traversal:
Geodesic Invariant:
∀ path P: backtrack(P) = ∅ ⟹ μ(|P|) ≠ 0
Möbius Inversion:
f(n) = Σ_{d|n} g(d) ⟹ g(n) = Σ_{d|n} μ(n/d) f(d)