What problem does it solve? Explanations from AI models often read as polished lectures that feel clear but leave no lasting understanding. This Skill structures concept teaching so the user builds a working mental model instead of passively nodding along. ## Core Features & Use Cases - Seven-Beat Structure: Walks through contract, pain, naive attempt, the idea, worked example, abstraction, and edge cases in a fixed order. - Honesty Guardrails: Enforces honest analogies, flags every simplification, and names concepts only after the problem they solve. - Bail-Out Logic: Detects when a concept has no failure-driven origin or is outside the model's knowledge, and falls back to a plain answer instead of inventing a plausible story. - Use Case: A user asks "how does a hash collision actually get resolved?" and receives a grounded explanation starting from the concrete pain, a broken naive attempt, a worked example with real values, and a closing check question. ## Quick Start Explain how database indexing actually works, assuming I know SQL but nothing about storage internals.
