What problem does it solve?
This skill prevents AI agents from drifting, quitting prematurely, or iterating indefinitely by enforcing a structured, evidence-based loop until a verified Definition of Done is reached.
Core Features & Use Cases
- OODA Loop Enforcement: Structures work into Observe, Orient, Decide, and Act cycles to ensure every step is grounded in current reality.
- Verified Completion: Mandates that the Definition of Done is met and verified with fresh evidence before concluding any task.
- Stop Criteria: Provides clear, legitimate exit points for material decisions or blockers, ensuring the human is consulted only when necessary.
- Use Case: Use this when managing complex, multi-round investigations or multi-task development plans where you need to ensure the agent stays on track and validates every outcome.
Quick Start
Initiate the Pelizzai Loop to execute the current development plan until the Definition of Done is verified.