What problem does it solve? It turns a vague request to learn something quickly into a structured, time-boxed teaching session that produces demonstrated capability on one concrete task instead of passive reading. ## Core Features & Use Cases - Scoped goal setting: Defines a realistic final task based on the topic, prior experience, and available time, defaulting to a four-hour budget when none is given. - Exercise-driven teaching: Selects one high-value exercise, breaks it into small attempts, and evaluates the learner's actual output against explicit success criteria. - Evidence-based finish: Ends with an unaided final task and an honest report of what the learner can do independently and what still needs practice. - Use Case: Ask to become functional in writing pytest fixtures in three hours; the skill inspects the codebase, picks one representative exercise, coaches attempts step by step, and verifies independent performance at the end. ## Quick Start Ask the assistant to teach you to become functional at a specific task within your available time budget, naming the topic and your prior experience.
