Continuous Learning v2

Automate workflow learning by capturing tool usage patterns and user corrections to generate reusable instincts, preventing the AI from repeating previous mistakes. The skill observes resolutions to build this knowledge base.

AI instincts are small pieces of learned knowledge captured from error resolutions and pattern detection. They improve agent performance by creating reusable behaviors that optimize future workflows and user experience.

Train an AI agent to auto-correct repetitive command typos by logging user corrections and tool usage patterns. The skill analyzes these errors to create instincts that suggest or apply the correct commands automatically.

Start capturing error resolutions by instructing the AI to 'learn from this' after completing a task or correcting an error. The skill leverages observation logging and a CLI to manage these learned behaviors.

This continuous learning skill requires no external dependencies or libraries. It operates independently using internal scripts, assets, and references to manage observation logging and instinct generation.

You can use a CLI to manage learned behaviors and detected workflow patterns. The skill provides a command-line interface for reviewing and maintaining the instincts generated from captured user corrections.