automated-learning

What problem does it solve?

This skill addresses the need for continuous improvement in automated processes by capturing learnings from each execution, generating routing patches, and maintaining skill registry hygiene.

Core Features & Use Cases

• Post-Run Analysis: Captures success and failure signals to improve future runs.
• Routing Patches: Creates plain English patches for routing adjustments.
• Skill Registry Hygiene: Ensures skill configuration integrity.
• Use Case: After running a complex task, the skill generates a learning note detailing what went well, what failed, and what to change, which can be pasted into the run log for continuous process improvement.

Quick Start

Run the automated-learning skill after each execution to capture insights and improve future tasks.