When should I use the 'ies-form' sub-skill?

Use ies-form when you need to focus on pure structural foundations, categorical schemas, or the mathematical invariants of a system without considering agency or dynamics.

Can this skill help with multi-agent system design?

Yes, the 'ies-game' trit is specifically designed for cybernetic agency, open games, and Nash equilibrium modeling within multi-agent environments.

How does the GF(3) conservation rule apply to coding?

GF(3) conservation ensures that a technical inquiry is complete by balancing formal structure (-1) with strategic agency (0) and observation (+1) so the total sum equals zero in mod 3 logic.

What is the IES Triadic framework?

It is a meta-modeling system that divides knowledge and system design into three poles: Form (structure), Game (agency), and Witness (experience), ensuring a balanced approach to complex problems.

IES Triadic Reasoning

Name: IES Triadic Reasoning
Author: plurigrid

byplurigrid

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Data Science & ML

Implements a triadic framework balancing category theory, cybernetic agency, and phenomenological observation for complex system modeling.

About

The IES Triadic skill provides a specialized meta-modeling framework for Claude Code, enabling the decomposition of complex problems into three mutually exclusive axes: Eternal Form (formal structure), Cybernetic Game (strategic agency), and Witness Ingression (phenomenological awareness). Based on GF(3) conservation principles, this skill ensures that technical inquiries and system designs remain balanced across mathematical, strategic, and experiential dimensions. It is particularly useful for researchers and developers working with topos theory, active inference, and advanced multi-agent systems.

Key Features

Cybernetic game theory integration for multi-agent strategy and equilibrium
2 GitHub stars
Phenomenological Witness perspectives for active inference and observation
GF(3) Decomposition for balanced epistemic inquiry and system design
Spectral Walk logic to ensure comprehensive coverage of all problem axes
Formal structural modeling using ∞-topos and synthetic homotopy theory

Use Cases

Mapping topological structures and categorical foundations for advanced AI research
Designing multi-agent systems requiring both strategic depth and formal mathematical constraints
Implementing active inference frameworks for autonomous agent perception-action loops

About

Key Features

Cybernetic game theory integration for multi-agent strategy and equilibrium
2 GitHub stars
Phenomenological Witness perspectives for active inference and observation
GF(3) Decomposition for balanced epistemic inquiry and system design
Spectral Walk logic to ensure comprehensive coverage of all problem axes
Formal structural modeling using ∞-topos and synthetic homotopy theory

Use Cases

Mapping topological structures and categorical foundations for advanced AI research
Designing multi-agent systems requiring both strategic depth and formal mathematical constraints
Implementing active inference frameworks for autonomous agent perception-action loops