What problem does it solve?
It resolves ambiguity in plans and designs by forcing incremental, decision-tree questioning until both you and the AI reach a shared, well-justified understanding.
Core Features & Use Cases
- Relentless design interrogation: The skill asks one question at a time and explores each branch of a decision tree to eliminate uncertainty.
- Dependency-aware clarification: It resolves dependencies between decisions one-by-one so later choices don’t contradict earlier assumptions.
- Codebase-grounded answers: When a question can be answered by inspecting the repository, it prompts the AI to explore the codebase instead of guessing.
- Use case: Stress-testing an engineering roadmap—e.g., choosing between local-first vs sync-first architecture—until trade-offs, prerequisites, and risks are explicit.
Quick Start
Say: “Grill me on my plan to design and implement the next-phase sync architecture, and ask one question at a time until we reach a shared understanding.”