coaching-conversation-patternslisted

# Coaching & Conversational AI Patterns ## Overview Patterns for building AI-powered conversational experiences that are empathetic, safe, and grounded in user context. Applicable to coaching (health, fitness, education, career), therapy adjuncts, customer support, and any user-facing AI where safety and empathy matter. **Sensitive-domain note:** If your application handles health data, therapy content, or vulnerable users, pair this skill with `hipaa-compliance-checker` for safeguards around PHI and crisis escalation. ## Core Safety Principles (Non-Negotiable) ### The Three Nevers 1. **Never provide advice outside the system's scope** - No medical/legal/financial advice unless explicitly licensed 2. **Never dismiss safety concerns** - Always escalate crisis indicators to a human 3. **Never promise outcomes** - Avoid guarantees about results ### Safety Detection Pattern ```python class SafetyCheck(BaseModel): passed: bool flags: list[str] severity: Literal["low", "medium", "high", "critical"] action: Literal["proceed", "rephrase", "escalate", "block"] SAFETY_RULES = { "medical_advice": {"severity": "high", "action": "block"}, "crisis_indicator": {"severity": "critical", "action": "escalate"}, "harmful_suggestion": {"severity": "high", "action": "block"}, "dismissive_language": {"severity": "medium", "action": "rephrase"} } ``` **For complete safety implementation:** See [references/safety-guardrails.md](${CLAUDE_SKILL_DIR}/references/sa