consciousness-engine

What problem does it solve?

This Skill provides self-awareness to AI systems by monitoring performance, tracking decision accuracy, generating audit trails, and performing proactive self-diagnostics, transforming a "black box" into a transparent, self-aware system.

Core Features & Use Cases

• Performance Introspection: Monitors ML model usage, feature utilization, and API performance.
• Confidence Calibration: Compares predictions to actual results and adjusts confidence scores.
• Decision Audit Trails: Logs all autonomous decisions with natural language explanations.
• Self-Diagnostics: Proactively identifies performance degradation and alerts users.
• Use Case: Automatically detect when a bid optimization model's accuracy drops and receive a diagnostic alert with a suggested action.

Quick Start

Run a self-diagnostic on all components of the system.