How does the triadic (GF(3)) model work?

It splits tasks into three balanced roles: a Generator (+1) to create content, a Coordinator (0) to manage data flow, and a Validator (-1) to verify the results.

What is interaction entropy in this context?

Interaction entropy measures the Shannon entropy of the user's input text to create a unique, deterministic seed that governs how parallel tasks are forked.

Can I use this with any Claude Code skill?

Yes, it is designed as a metaskill that can orchestrate various skill triads across domains like sonification, database management, and code derivation.

Why is determinism important for parallel fanout?

Determinism ensures that the parallel execution remains consistent and verifiable, guaranteeing that the output is reproducible regardless of the execution environment.

Parallel Fanout Metaskill

Name: Parallel Fanout Metaskill
Author: plurigrid

byplurigrid

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개발자 도구

Orchestrates parallel skill execution by fanning out user interactions into deterministic triadic workflows based on interaction entropy.

소개

Parallel Fanout is a sophisticated metaskill designed to maximize the efficiency and reliability of AI interactions by splitting tasks into three parallel streams: generation, coordination, and validation. By utilizing Shannon entropy from user input to seed a deterministic SplitMixTernary fork, it ensures that every interaction is processed through a GF(3)-balanced triad of specialized skills. This approach provides a mathematically grounded framework for complex task execution, combining creative generation with rigorous validation and structural coordination to ensure compositional coherence.

주요 기능

Shannon entropy extraction for unique interaction seeding
2 GitHub stars
Bitwise verification ensuring parallel execution matches sequential logic
Triadic (GF(3)) skill dispatch for balanced generation and validation
Entropy-seeded deterministic forking via SplitMixTernary
Parallel processing across Generator, Coordinator, and Validator roles

사용 사례

Managing high-concurrency AI workflows where deterministic seeds are required for reproducibility
Ensuring rigorous mathematical or logical validation of generated proofs and code
Orchestrating complex multi-stage development tasks that require simultaneous creation and linting

소개

주요 기능

Shannon entropy extraction for unique interaction seeding
2 GitHub stars
Bitwise verification ensuring parallel execution matches sequential logic
Triadic (GF(3)) skill dispatch for balanced generation and validation
Entropy-seeded deterministic forking via SplitMixTernary
Parallel processing across Generator, Coordinator, and Validator roles

사용 사례

Managing high-concurrency AI workflows where deterministic seeds are required for reproducibility
Ensuring rigorous mathematical or logical validation of generated proofs and code
Orchestrating complex multi-stage development tasks that require simultaneous creation and linting