workflow-self-evolution

What problem does it solve?

Provides universal self-evolution and adaptive learning capabilities for all NTL skills, enabling intelligent failure filtering, learning decisions, version control, and metrics tracking to drive continuous improvement.

Core Features & Use Cases

• Intelligent failure filtering (81% noise reduction) to focus learning on valuable failures.
• Learning decision engine that determines when to learn, monitor, or provide feedback.
• Automatic version backups before updates and one-click rollback for safe deployments.
• Real-time quality metrics tracking and trend analysis to guide optimization.
• Automated optimization support, including A/B testing frameworks, for continuous improvement across skills.

Quick Start

After every task execution, run the self-evolution protocol to log results, classify failures, and apply the appropriate learning or rollback actions.