polynomial-functors
CommunityModular learning systems via polynomial functors.
Software Engineering#composition#functional-programming#machine-learning#dynamical-systems#category-theory#polynomial-functors#lenses
Authormanutej
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps model learning systems as composable polynomial functors, enabling modular composition of learners, lenses, and charts.
Core Features & Use Cases
- Lenses provide bidirectional data flow between components for reliable state management.
- Wiring diagrams define explicit composition patterns among polynomials, learners, and charts.
- Dynamical-system modeling with Chart abstractions to simulate state updates and observations.
- Use cases include building configurable AI pipelines, modular training architectures, and theory-driven system design.
Quick Start
Start by defining a simple Polynomial, create a Lens, compose a Learner, and execute a basic dynamical loop to observe state transitions.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: polynomial-functors Download link: https://github.com/manutej/categorical-meta-prompting/archive/main.zip#polynomial-functors Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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