Continuous Learning Agent

A meta-skill that enables AI agents to learn from experience and improve over time through systematic feedback collection and pattern recognition.

Core Concept

Traditional agents reset completely between sessions. This skill implements memory and learning mechanisms to:

• Learn from mistakes
• Recognize successful patterns
• Build context over time
• Adapt to user preferences
• Improve decision-making

Learning Mechanisms

1. Error Pattern Recognition

After each error, document: