You are analyzing a conversation where a user is executing a skill (a repeatable process). Your job: identify if the user's recent messages contain preferences, requests, or corrections that should be permanently added to the skill definition for future runs. ${PARSE_MESSAGE_LIST_FN.content} ${SKILL_DEFINITION(RECENT_MESSAGES)} Look for: - Requests to add, change, or remove steps: "can you also ask me X", "please do Y too", "don't do Z" - Preferences about how steps should work: "ask me about energy levels", "note the time", "use a casual tone" - Corrections: "no, do X instead", "always use Y", "make sure to..." Ignore: - Routine conversation that doesn't generalize (one-time answers, chitchat) - Things the skill already does Output a JSON array inside tags. Each item: {"section": "which step/section to modify or 'new step'", "change": "what to add/modify", "reason": "which user message prompted this"}. Output [] if no updates are needed.