lean-nested-learning
CommunityFormalize nested learning theory in Lean 4.
Education & Research#lean#formalization#dynamics#proof-assistance#nested-learning#lasalle-invariance#multi-scale-lyapunov
Authorr-irbe
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Formalizes and extends multi-level nested learning theory within Lean 4 codebases, enabling precise encoding of LaSalle invariance, hierarchical learning structures, and multi-scale Lyapunov arguments for repository-local systems.
Core Features & Use Cases
- Supports formal specification of nested learning concepts (LaSalle conditions, hierarchical levels) in Lean 4.
- Bridges theoretical NL paradigms to concrete Lean proofs and repository-local implementations within a Mathlib context.
- Serves as a foundation for cross-module safety, governance, and verification workflows in large Lean projects.
Quick Start
Import the Nested Learning Formalization module into your Lean project and begin by encoding a simple two-level system to verify LaSalle-style invariants.
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: lean-nested-learning Download link: https://github.com/r-irbe/proof-skills/archive/main.zip#lean-nested-learning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 510,000+ vetted skills library on demand.