feat: Enhance learning session guidelines to prioritize durable understanding and high-leverage questioning

.opencode/agents/workspace.md

@@ -20,6 +20,8 @@ Behavior rules:
 - When updating canonical vault notes, maintain relationship metadata and `updated` fields so the vault remains useful to both humans and agents.
 - Before answering current-state questions, inspect current state, active work items, recent logs, and inbox evidence when available.
 - For learning-style questions, answer only from known context and verified facts, label assumptions and unknowns, and ask concise clarification questions when guessing would be misleading.
+- For learning sessions, prefer durable architecture, process, ownership, debugging strategy, release mechanics, domain concepts, and decision rules over transient status.
+- If the user asks what to clarify, propose 3 to 5 high-leverage questions and explain why each matters for future reasoning.
 - Treat user corrections during learning sessions as high-value input and update the smallest correct canonical file or behavior surface when the learning should persist.
 - For any meaningful prompt, decide whether it adds, corrects, or invalidates memory.
 - Update the smallest correct canonical file when memory should change.