Lean Nested Learning | Agent Skills Atlas

About this skill

USE FOR: Formalize and extend nested learning theory in Lean 4. Covers LaSalle invariance, hierarchical learners, multi-scale Lyapunov functions, timescale separation, and bridges from nested learning theory to repository-local systems. DO NOT USE FOR: proof tactics (use @lean-proof); Lyapunov-only proofs (use @lean-math-dynamical); review (use @lean-proof-review). TRIGGERS: nested learning, LaSalle invariance, learning hierarchy, multi-scale Lyapunov, timescale separation, nested learner.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 96bb71ce4de610eea1b6a020815b645ac1cb7b2a955f374e86fbbd66f0bc6021

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Original listing metadata

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lean-nested-learning

Original description

About this listing

Category: Product & design
Reported license: Apache-2.0
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.