Self-Improving + Proactive Agent

Overview: This skill enables your agent to evaluate its own work, catch mistakes, and improve permanently. It’s useful when you want to ensure your agent learns from its mistakes and improves over time. Key Features: * Evaluates its own work and catches mistakes * Improves permanently through self-learning and self-organizing memory * Integrates with other skills to enhance its capabilities How It Works: The agent uses a tiered memory structure to store its learnings, with HOT, WARM, and COLD tiers. It logs corrections, preference signals, and pattern candidates to improve its performance. Use Cases: * Correcting mistakes and improving performance * Learning from user feedback and preferences * Scaling and maintaining its capabilities over time