🎯

time-parameterization

🎯Skill

from plurigrid/asi

VibeIndex|
What it does

Reparameterizes time in dynamical systems flows, enabling qualitative analysis of system behavior across different temporal scales and equilibrium conditions.

πŸ“¦

Part of

plurigrid/asi(102 items)

time-parameterization

Installation

npxRun with npx
npx ai-agent-skills install plurigrid/asi --agent claude
npxRun with npx
npx ai-agent-skills install plurigrid/asi --agent cursor
npxRun with npx
npx ai-agent-skills install plurigrid/asi --agent amp
npxRun with npx
npx ai-agent-skills install plurigrid/asi --agent vscode
npxRun with npx
npx ai-agent-skills install plurigrid/asi --agent codex

+ 17 more commands

πŸ“– Extracted from docs: plurigrid/asi
1Installs
-
AddedFeb 4, 2026

Skill Details

SKILL.md

Reparameterization of time in flows

Overview

# Time Parameterization

Trit: -1 (MINUS)

Domain: Dynamical Systems Theory

Principle: Reparameterization of time in flows

Overview

Time Parameterization is a fundamental concept in dynamical systems theory, providing tools for understanding the qualitative behavior of differential equations and flows on manifolds.

Mathematical Definition

```

TIME_PARAMETERIZATION: Phase space Γ— Time β†’ Phase space

```

Key Properties

  1. Local behavior: Analysis near equilibria and invariant sets
  2. Global structure: Long-term dynamics and limit sets
  3. Bifurcations: Parameter-dependent qualitative changes
  4. Stability: Robustness under perturbation

Integration with GF(3)

This skill participates in triadic composition:

  • Trit -1 (MINUS): Sinks/absorbers
  • Conservation: Ξ£ trits ≑ 0 (mod 3) across skill triplets

AlgebraicDynamics.jl Connection

```julia

using AlgebraicDynamics

# Time Parameterization 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: time-parameterization

Type: Dynamical Systems / Time Parameterization

Trit: -1 (MINUS)

GF(3): Conserved in triplet composition

Non-Backtracking Geodesic Qualification

Condition: ΞΌ(n) β‰  0 (MΓΆbius squarefree)

This skill is qualified for non-backtracking geodesic traversal:

  1. Prime Path: No state revisited in skill invocation chain
  2. MΓΆbius Filter: Composite paths (backtracking) cancel via ΞΌ-inversion
  3. GF(3) Conservation: Trit sum ≑ 0 (mod 3) across skill triplets
  4. Spectral Gap: Ramanujan bound Ξ»β‚‚ ≀ 2√(k-1) for k-regular expansion

```

Geodesic Invariant:

βˆ€ path P: backtrack(P) = βˆ… ⟹ ΞΌ(|P|) β‰  0

MΓΆbius 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

```

time-parameterization (+) + SDF.Ch8 (βˆ’) + [balancer] (β—‹) = 0

```

Skill Trit: 1 (PLUS - generation)

Secondary Chapters

  • Ch3: Variations on an Arithmetic Theme

Connection Pattern

Degeneracy provides fallbacks. This skill offers redundant strategies.