learning-systems

What problem does it solve?

This Skill helps teams quantify and manage learning signals from swarm task outcomes to improve decomposition quality and adapt how patterns are promoted or deprecated.

Core Features & Use Cases

• Implicit feedback scoring: translate task results into actionable signals without explicit user input.
• Confidence decay and pattern maturity: track and adjust the relevance of patterns over time to prevent stale guidance.
• Anti-pattern detection and evolution: automatically identify and handle patterns that degrade over time.

Quick Start

Set up a sample swarm task, record its outcome with swarm_record_outcome, and observe how scores, decay, and maturity transitions update the pattern set.