Does this skill work with any justfile?

Yes, it is designed to scan and inventory justfiles across multiple directories, using them as nodes in a random walk to locate optimal 'beacon' signals for task execution.

What is GF(3) triadic integration?

It is a validation method based on triadic logic (Source/Transform/Sink) that ensures the sum of operations in a pipeline remains balanced and category-theoretically sound.

How does Beacon-Repeater bridge MLX and JAX?

It implements a bidirectional bridge that routes local signals from Apple Silicon (MLX) to cloud environments (JAX) using spectral-filtered deterministic transformations.

What is the role of the spectral gap in this skill?

The skill seeks a spectral gap of 0.25 (Ramanujan optimal), ensuring that the dependency graph of the project allows for maximum expansion and efficient information flow.

Beacon-Repeater MLX-JAX Orchestrator

Name: Beacon-Repeater MLX-JAX Orchestrator
Author: plurigrid

byplurigrid

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데이터 과학 및 ML

Orchestrates bidirectional MLX-JAX workflows using spectral gap analysis and topological life pattern resurrection.

The Beacon-Repeater skill is an advanced orchestration layer designed for complex machine learning environments spanning local Apple Silicon (MLX) and cloud-based JAX frameworks. It utilizes Ramanujan graph spectral gaps to optimize signal repetition and employs category-theoretic validation (catp) with GF(3) logic to ensure flow integrity. By integrating a massive inventory of justfile commands and ALIFE resurrection patterns inspired by Lenia and Axelrod, it offers a unique topological approach to managing high-dimensional ML tasks and autonomous agent behaviors.

주요 기능

01ALIFE pattern resurrection using Lenia-style continuous cellular automata and Tit-for-Tat dynamics.

028 GitHub stars

03Category-theoretic flow validation using GF(3) triadic logic for operational integrity.

04Bidirectional bridge between local MLX (Apple Silicon) and cloud-based JAX/TPU environments.

05Spectral gap random walk for navigating and optimizing complex project dependency graphs.

06Automated orchestration of 50+ justfile commands for workflow automation and signal processing.

사용 사례

01Hybrid ML inference scaling between local M-series hardware and high-performance cloud clusters.

02Validating and optimizing the topology of large-scale content-addressed codebases.

03Simulating complex biological life patterns and cooperation strategies within neural networks.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi beacon-repeater

For use in Claude.ai and ChatGPT

Download Skill