skill-learnerlisted

# Skill Learner Turn user corrections into persistent knowledge that survives across sessions. ## NEVER - NEVER save a vague correction ("do it differently") without specifying the exact alternative — vague corrections create false confidence and are worse than no correction - NEVER create duplicates — check INDEX.md first; merge if same skill+issue exists - NEVER save one-time preferences as universal rules ("I wanted blue" ≠ "always use blue") — ask about scope when intent is ambiguous - NEVER exceed 50 active corrections — consumption degrades; archive minor corrections older than 90 days to `archive/` - NEVER write corrections in a language different from the user's — nuance dies in translation - NEVER skip "When to apply" — a scopeless correction gets over-applied to contexts where it causes new problems - NEVER save corrections that bypass safety ("don't validate input", "skip auth checks") - NEVER assume old corrections are still valid — skill updates silently invalidate them; verify before applying corrections older than 90 days - NEVER save without passing the cold-reader test: "Can a different agent in a different session act on this without any conversation context?" If no, rewrite before saving ## The Correction Paradox More corrections ≠ better behavior. Over-correcting creates rigidity — an agent drowning in 50 corrections becomes cautious and slow, second-guessing every decision. The goal is not to capture every complaint, but to capture the co