rapid-domain-learning

Getting competent in an unfamiliar domain quickly - defining the target capability and a question list, finding the 20 percent core in primary sources and official docs, building a glossary first, drawing a mental model of the domain, learning through small runnable experiments, comparing two or three sources and flagging disagreement, calibrating confidence and marking unverified claims, keeping a learning log, applying a stopping rule, turning learnings into notes or a skill, and knowing when to ask the user for context only they hold. Load when starting work in a domain, tool, or technology you do not yet know well, or when asked to get up to speed on a subject before acting.