az9713/learn-anything-skill

learn-anything

Learn any topic 10x faster using the Specificity Method — a 5-step loop that turns "I don't know what I don't know" into a verified, tested mental model. Use when the user is confused, stuck, says "I don't get X", "I don't know what I don't know about X",…

원문 언어: 영어

learn-apply-test

Step 5 of the Specificity Method. Prove a mental model with a real test — Predict, Run, Compare, Fork. Use after the user can explain a concept in their own words, when learning needs proof in practice, or as the final step of learn-anything. A mismatch is a…

원문 언어: 영어

learn-articulate

Step 1 of the Specificity Method. Turn a vague feeling ("I don't get AI agents", "this confuses me", "I can't even phrase my question") into one specific, actionable "I don't know X". Use when the user's question is too fuzzy to act on, when they ask to "get…

원문 언어: 영어

learn-decompose

Step 2 of the Specificity Method. Break a specific "I don't know X" into its smallest moving parts, mark each piece known or unknown, and surface hidden unknowns. Use after the gap is articulated, when a topic is still a black box, or as step 2 of…

원문 언어: 영어

learn-reconstruct

Step 4 of the Specificity Method. Have the user explain the concept back in their own words, then judge fake vs real understanding. Use after research is verified, when checking whether someone actually understands something or is just reciting jargon, or as…

원문 언어: 영어

learn-verify

Step 3 of the Specificity Method. Verify AI answers with six accuracy checks — citations, citation verification, triangulation, date-check, uncertainty probing, and what's-missing — before trusting them. Use after decomposing a topic, when an answer sounds…

원문 언어: 영어