Self-Evolving Skill

Overview: This skill is a self-learning system that evolves based on predictive coding and value-driven mechanisms. It’s designed to automate skill evolution, making it a valuable addition to any AI assistant. Key Features: * ResidualPyramid decomposition for quantifying cognitive gaps * Adaptive reflection trigger for automatic learning * Experience replay for caching learned patterns * Value gate for accepting only value-enhancing variations * Persistent storage for automatic saving and loading How It Works: The skill uses a combination of residual pyramid decomposition, adaptive reflection triggers, experience replay, and value gates to evolve and improve its performance. It also includes persistent storage for automatic saving and loading of learned patterns. Use Cases: * Automating skill evolution for AI assistants * Improving performance and efficiency in complex tasks * Enhancing decision-making capabilities with value-driven mechanisms