Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install hiyenwong-ai-collection-collection-skills-continual-learning-attribution-neuron-utilitygit clone https://github.com/hiyenwong/ai_collection.gitcp ai_collection/SKILL.MD ~/.claude/skills/hiyenwong-ai-collection-collection-skills-continual-learning-attribution-neuron-utility/SKILL.md--- name: attribution-neuron-utility description: "Gradient-based eXplained Deviation (GXD) neuron utility metric for plasticity restoration in deep networks. Combines attribution-guided neuron importance scoring with critical bottleneck period (CBP) detection and targeted reset. Use when: catastrophic forgetting, plasticity loss, neuron-level analysis, continual learning reset methods, attribution-guided training." --- # Attribution-Based Neuron Utility for Plasticity Restoration ## Core Method **GXD (Gradient-based eXplained Deviation)**: Attribution-based neuron utility metric that identifies which neurons contribute to prediction vs. which are dead. ## CBP Detection Critical Bottleneck Periods (CBPs) are phases where gradient norms systematically decrease, indicating plasticity loss. ## Reset Strategy 1. Compute GXD scores per neuron 2. Identify low-utility (dead) neurons during CBPs 3. Selective reset of dead neurons while preserving functional ones 4. Outperforms L2 regularization, dropout, and L3 methods ## Paper - Elisii et al., arXiv:2605.06834, 2026