What problem does it solve?
Prevents users from getting responses that are too long or too shallow by letting them select the desired depth upfront, especially when the user is trying to manage token usage or answer length.
Core Features & Use Cases
- Token-budget guided depth selection: Estimates input and response size using heuristic context-budget rules, then presents actionable depth tiers (25/50/75/100%).
- Session-aware behavior: Avoids re-asking when the user has already set a depth level in the current session.
- Clear triggers and exclusions: Activates when users explicitly request response length/depth control, and avoids triggering for one-word requests or unrelated uses of the word “token.”
- Use case: When you ask for “short version” or “exhaustive answer,” the skill helps you choose an appropriate depth tier before the model generates content.
Quick Start
Ask the assistant for a controlled response length, such as “Give me the short version first—then I’ll choose a deeper level.”