What problem does it solve? Customer messages arriving across WhatsApp, Instagram, Facebook, website chat, and email in Chatwoot require manual triage, drafting, and logging. This Skill bridges Chatwoot to the Kizuna CRM agent so inbound messages are classified, answered or drafted, escalated when needed, and logged to a knowledge base automatically. ## Core Features & Use Cases - Inbound Webhook Handling: Verifies HMAC-SHA256 signed Chatwoot webhooks, extracts message context, and classifies intent as inquiry, complaint, lead, support, or other. - Three Assignment Modes: Hermes-first auto-replies, human-first passthrough, or co-pilot mode that posts AI-drafted replies as private agent-only notes. - Contact Sync & Conversation Logging: Python scripts sync Chatwoot contacts to brain people pages and append conversation timeline entries. - SLA Monitoring: A scheduled script reports response times, quick-reply rates, and conversations breaching the 30-minute threshold. - Use Case: A customer asks for a quote via WhatsApp; the bridge classifies the intent, matches a brain template, and sends a reply requesting quantity, timeline, and requirements through the Chatwoot API. ## Quick Start Configure the Chatwoot API URL and access token in the Kizuna profile, then ask the agent to handle incoming Chatwoot customer messages and draft replies for review.