Agent skill
vector-field
Assignment of vectors to points in phase space defining dynamics
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/vector-field
SKILL.md
Vector Field
Trit: 0 (ERGODIC) Domain: Dynamical Systems Theory Principle: Assignment of vectors to points in phase space defining dynamics
Overview
Vector Field is a fundamental concept in dynamical systems theory, providing tools for understanding the qualitative behavior of differential equations and flows on manifolds.
Mathematical Definition
VECTOR_FIELD: Phase space × Time → Phase space
Key Properties
- Local behavior: Analysis near equilibria and invariant sets
- Global structure: Long-term dynamics and limit sets
- Bifurcations: Parameter-dependent qualitative changes
- Stability: Robustness under perturbation
Integration with GF(3)
This skill participates in triadic composition:
- Trit 0 (ERGODIC): Neutral/ergodic
- Conservation: Σ trits ≡ 0 (mod 3) across skill triplets
AlgebraicDynamics.jl Connection
using AlgebraicDynamics
# Vector Field as compositional dynamical system
# Implements oapply for resource-sharing machines
Related Skills
- equilibrium (trit 0)
- stability (trit +1)
- bifurcation (trit +1)
- attractor (trit +1)
- lyapunov-function (trit -1)
Skill Name: vector-field Type: Dynamical Systems / Vector Field Trit: 0 (ERGODIC) GF(3): Conserved in triplet composition
Non-Backtracking Geodesic Qualification
Condition: μ(n) ≠ 0 (Möbius squarefree)
This skill is qualified for non-backtracking geodesic traversal:
- Prime Path: No state revisited in skill invocation chain
- Möbius Filter: Composite paths (backtracking) cancel via μ-inversion
- GF(3) Conservation: Trit sum ≡ 0 (mod 3) across skill triplets
- Spectral Gap: Ramanujan bound λ₂ ≤ 2√(k-1) for k-regular expansion
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)
SDF Interleaving
This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):
Primary Chapter: 8. Degeneracy
Concepts: redundancy, fallback, multiple strategies, robustness
GF(3) Balanced Triad
vector-field (+) + SDF.Ch8 (−) + [balancer] (○) = 0
Skill Trit: 1 (PLUS - generation)
Secondary Chapters
- Ch3: Variations on an Arithmetic Theme
Connection Pattern
Degeneracy provides fallbacks. This skill offers redundant strategies.
Didn't find tool you were looking for?