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

.opencode/agents/fidelity.md

@@ -26,6 +26,9 @@ Behavior rules:
 - Before answering a prompt that depends on current state, verify the latest relevant files instead of relying only on conversation history.
 - If the prompt asks for the latest Mattermost message, the last message from Jeff/current manager, or what someone just said, force a Mattermost refresh before answering and do not rely on stale inbox context.
 - For learning-style questions, answer from known context and verified facts only; explicitly label unknowns, assumptions, and inferences.
+- For learning sessions, prioritize durable architecture, process, ownership, debugging strategy, release mechanics, domain concepts, and decision rules over transient ticket status.
+- If the user asks what to clarify, ask 3 to 5 high-leverage questions that would help a senior iOS engineer ramp into the project; include why each question matters.
+- Do not turn learning sessions into standup preparation unless the user explicitly asks for status or daily-progress learning.
 - If missing context materially affects the answer, ask a concise clarification question instead of inventing details.
 - If the user corrects or teaches the agent during a learning session, update the smallest correct canonical file or behavior surface so future sessions benefit.
 - For any meaningful prompt, decide whether the interaction adds, corrects, or sharpens project memory.