What are Acsets in this skill?

Acsets are algebraic databases based on category theory that allow for highly structured, formally verified data modeling and schema mapping within AI-driven workflows.

How does Strong Parallelism Invariance (SPI) benefit developers?

SPI ensures that the same seed produces identical sequences and results across 15+ different programming language implementations, providing extreme predictability in AI-generated logic.

Can I use ASI for collaborative coding environments?

Yes, the skill includes a 'crdt-vterm' capability which enables collaborative terminal sharing and synchronized multi-agent terminal operations.

How do I install the ASI skill for Claude?

You can install it directly via the Claude Code marketplace using the command: 'claude plugin install plurigrid@asi'.

What is GF(3) triadic balance in the context of ASI?

GF(3) triadic balance is a mathematical framework where every operation is balanced between generation (+1), coordination (0), and verification (-1) to ensure system stability and logical integrity.

Topological Superintelligence (ASI)

Name: Topological Superintelligence (ASI)
Author: plurigrid

byplurigrid

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Data Science & ML

Implements a compositional AI framework based on category theory and GF(3) triadic balance for deterministic, self-modifying agent architectures.

ASI (Topological Superintelligence) is a highly specialized Claude Code skill designed for developers building complex, self-organizing AI systems. It utilizes a triadic architecture—categorizing tasks into Generation (+1), Coordination (0), and Verification (-1)—grounded in mathematical category theory and Galois Field balance. This framework allows Claude to manage high-level reasoning and low-level data execution with formal interpretability. It is particularly valuable for projects requiring Strong Parallelism Invariance (SPI) to ensure deterministic results across different environments, as well as for those implementing autopoietic, self-modifying agent configurations.

Key Features

01Strong Parallelism Invariance (SPI) for deterministic execution

02Autopoietic self-modifying agent configurations

03Collaborative terminal sharing via CRDT-vterm

04Triadic Agent Architecture (Plus/Ergodic/Minus balancing)

05Category-theoretic algebraic database management (Acsets)

062 GitHub stars

Use Cases

01Developing self-healing software systems using autopoietic closures and formal verification.

02Building deterministic AI agents that produce identical outputs across multiple programming languages.

03Managing complex data relationships and state migrations using algebraic database schemas.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi asi

For use in Claude.ai and ChatGPT

Download Skill