What problem does it solve? Users often receive answers that are too long or too short for their needs, wasting tokens and time. This Skill intercepts the response flow to let users choose how much depth and length an answer should consume before it is generated. ## Core Features & Use Cases - Heuristic Token Estimation: Estimates input tokens using word-count and character-count heuristics, then projects a response window based on prompt complexity. - Four Depth Levels: Offers Essential (25%), Moderate (50%), Detailed (75%), and Exhaustive (100%) response tiers with estimated token counts for each. - Shortcut Detection: Recognizes direct signals like "short version", "tldr", or "50% depth" and responds at that level immediately without asking. - Use Case: A user asks a complex architecture question but only wants a brief summary first. The Skill presents depth options with estimated token costs, the user picks 25%, and receives a concise direct answer. ## Quick Start Ask the assistant to give you the short version of its answer or specify a depth level like 50% before it responds.