meta-learn

The deliberate, on-demand deep-dive into a completed skill session — for when the automatic one-line Learning Close every T1/T2 skill already writes isn't enough. Asks what the session actually taught the user — not what the skill's output said, but what surprised them, what they disagreed with, or what was missing. Turns real answers into a specific, falsifiable statement and logs it to the same file, in the same format, every T1/T2 skill's own Learning Close writes to — so meta-synthesis reads one consistent log regardless of which produced any given row.

Trigger

• When: The user wants a deeper capture of a completed skill session than the automatic one-line row every T1/T2 skill already logs at its own close (see that skill's Learning Close step). Use this for a session that deserves real reflection — something surprised the user, a recommendation felt wrong, or important context was missing — and a structured three-question interview is worth the extra few minutes.