Which programming languages does this skill support?

It is designed for a polyglot substrate including Scheme, Hy, Clojure, Julia, Racket, Move (Aptos), and Unison.

What are the three ANIMA phases?

The phases are BEFORE (convergent/learning), AT (equilibrium/agency), and BEYOND (divergent/generating), corresponding to trit values -1, 0, and +1.

How is state integrity maintained?

The skill utilizes GF(3) conservation verification, which ensures that the total phase across all nodes in the network sums to 0 mod 3.

What is the role of s-expressions in this skill?

S-expressions serve as the universal medium for all transitions, ensuring that data remains stable and compatible when moving between quantum states and classical registers across different languages.

Condensed ANIMA QC

Name: Condensed ANIMA QC
Author: plurigrid

byplurigrid

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Data Science & ML

Manages quantum-classical network transitions and state conservation using s-expressions across polyglot computing environments.

About

The Condensed ANIMA QC skill provides a specialized framework for orchestrating the boundary between quantum and classical systems. By utilizing s-expressions as a universal intermediate medium, it facilitates seamless data flow through measurement (Q→C) and preparation (C→Q) cycles. This skill implements the SplitMix64 algorithm for deterministic state seeding and enforces GF(3) conservation laws to maintain system integrity. It is designed for developers working on hybrid compute models, topological simulations, or distributed systems requiring a unified configuration language across multiple Lisp dialects and blockchain substrates.

Key Features

Deterministic state transitions powered by SplitMix64 and ANIMA phase dynamics
GF(3) phase conservation verification across distributed network nodes
2 GitHub stars
Quantum-Classical (Q→C) measurement and Classical-Quantum (C→Q) preparation logic
Support for seven Lisp-influenced environments including Clojure, Julia, and Scheme
S-expression based universal intermediate representation for polyglot compatibility

Use Cases

Modeling hybrid quantum-classical state transitions in research environments
Coordinating polyglot distributed systems with a unified s-expression substrate
Implementing topological logic and state conservation in complex compute networks

About

Key Features

Deterministic state transitions powered by SplitMix64 and ANIMA phase dynamics
GF(3) phase conservation verification across distributed network nodes
2 GitHub stars
Quantum-Classical (Q→C) measurement and Classical-Quantum (C→Q) preparation logic
Support for seven Lisp-influenced environments including Clojure, Julia, and Scheme
S-expression based universal intermediate representation for polyglot compatibility

Use Cases

Modeling hybrid quantum-classical state transitions in research environments
Coordinating polyglot distributed systems with a unified s-expression substrate
Implementing topological logic and state conservation in complex compute networks