The CORE skill serves as the authoritative operational framework for the Vaughn Personal AI Infrastructure (PAI). It enforces a mandatory 7-phase execution loop—Observe, Think, Plan, Build, Execute, Verify, and Learn—designed to ground AI actions in the scientific method. By utilizing a dynamic Ideal State Criteria (ISC) tracker, the skill ensures that every task is broken down into granular, testable, and binary conditions. This systematic approach eliminates ambiguity, monitors for failure modes through anti-criteria, and provides real-time visibility into the AI's reasoning process to ensure high-quality, predictable outcomes.
Key Features
010 GitHub stars
02Real-time progressive output for maximum task transparency
03Automated 'Learn' phase for persistent context and metadata capture
04Anti-criteria monitoring to proactively avoid failure modes
057-Phase PAI Algorithm for structured problem solving
06Dynamic Ideal State Criteria (ISC) tracking and verification
