self-reflection

What problem does it solve?

This Skill addresses the issue of AI agents repeating mistakes due to a lack of persistent memory and structured learning. It enables continuous self-improvement by tracking errors and documenting lessons learned.

Core Features & Use Cases

• Automated Reflection Prompts: Integrates with agent heartbeats to trigger regular self-reflection.
• Lesson Logging: Allows agents to log specific mistakes (miss) and corrective actions (fix) with associated tags.
• Memory Persistence: Stores lessons learned in a markdown file for future reference and analysis.
• Use Case: An AI assistant repeatedly makes a minor error in formatting user responses. This skill prompts it to reflect, log the error and the correct format, ensuring it doesn't repeat the mistake in subsequent interactions.

Quick Start

Run self-reflection check to see if a reflection is needed.