Batch Small Questions Together (Token Batching) (AI Skill)

Overview

Every time you send a new message in an ongoing AI conversation, the entire previous chat history is re-sent as input tokens. Sending 5 separate, one-sentence questions sequentially creates quadratic context accumulation ($O(N^2)$ token costs), triggering rate limits and wasting time.

Token Batching is the practice of combining 3 to 5 related micro-questions into a single structured prompt, receiving a clean, multi-part answer in one fast round-trip.

The Economics of Context Accumulation