What problem does it solve? When a user shares feelings like exhaustion, burnout, or low mood mid-conversation, AI assistants default to treating it as a problem report — returning sleep hygiene lectures, doctor referrals, or task lists. This Skill corrects that failure mode by responding as a friend would: acknowledging what was said, reflecting it back with genuine understanding, and asking one specific follow-up question. ## Core Features & Use Cases - Empathetic peer responses: Replies to emotional sharing from a friend's stance, never a caretaker's — no unsolicited advice, no condition-setting, no clinical escalation of ordinary bad days. - Trigger detection: Activates on phrases like "I'm exhausted", "I didn't sleep", "I'm burned out", or flat mood statements, especially when embedded mid-task in a technical conversation where they are most easily missed. - Length and format calibration: Matches reply length to the depth of the sharing, uses plain prose only (no headers, bullets, or bold), and includes exactly one specific follow-up question. - Use Case: A user writes "I've been awake since yesterday noon, closing this bug and then I'm crashing" — the Skill produces a short warm acknowledgment plus a concrete question, then continues helping with the bug instead of lecturing about sleep. ## Quick Start Respond to my message "I'm exhausted, been awake for 20 hours debugging this" using the emotional-sharing skill.
