How does interaction entropy affect the process?

It calculates the Shannon entropy of your input text to create a unique hash. This hash serves as a seed, ensuring that the parallel forks are uniquely yet deterministically generated for that specific interaction.

Can I use Parallel Fanout for non-coding tasks?

While highly effective for development, it can be applied to any domain requiring balanced triadic logic, such as game design, music sonification, and complex database navigation.

What is Parallel Fanout in Claude Code?

Parallel Fanout is a metaskill that splits a single user interaction into three parallel, specialized tasks—Generator, Coordinator, and Validator—using deterministic seeding to ensure efficiency and accuracy.

Is this skill compatible with other Claude skills?

Yes, it is designed to integrate with skills like triad-interleave, epistemic-arbitrage, and spi-parallel-verify to provide a unified, verifiable parallel framework.

What is a GF(3)-balanced triad?

It is a mathematical framework where three roles—Generator (+1), Coordinator (0), and Validator (-1)—sum to zero. This ensures a balanced workflow where every action is properly coordinated and verified.

Parallel Fanout

Name: Parallel Fanout
Author: plurigrid

byplurigrid

•

開発者ツール

Orchestrates multi-threaded skill execution by deriving deterministic seeds from user interaction entropy for synchronized triadic workflows.

Parallel Fanout is a powerful metaskill designed to maximize Claude's efficiency by transforming single user interactions into synchronized, triadic parallel workflows. It extracts Shannon entropy from input text to generate deterministic seeds for SplitMixTernary forking, ensuring that for every task, a Generator, Coordinator, and Validator work in unison. By maintaining GF(3) balance and SPI-compliance, this skill guarantees that parallel results remain logically consistent and bitwise identical to sequential execution, providing a robust framework for complex domain-specific tasks ranging from code generation to formal verification.

主な機能

01Entropy-based deterministic seeding for reproducible parallel workflows

02Triadic skill dispatch (Generator, Coordinator, Validator) for balanced execution

03Automatic domain detection for selecting specialized skill triads across dev and design

04GF(3) conservation verification ensuring logical and mathematical consistency

05Recursive skill tree generation for deep, multi-layered task processing

067 GitHub stars

ユースケース

01High-integrity proof generation where terms must be generated and type-checked in parallel

02Complex data sonification requiring real-time parameter mapping and spectral verification

03Simultaneous code generation, architectural routing, and linting/validation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi parallel-fanout

For use in Claude.ai and ChatGPT

Download Skill