What problem does it solve?
This Skill removes repetitive human decision-making by enriching each atendimento ticket/conversation with financial context, WhatsApp signals, and operational giro to produce a structured priority recommendation.
Core Features & Use Cases
- Ticket enrichment triage: gathers client financial status (LTV/MRR, plan, days overdue), WhatsApp history signals (sentiment and key terms), and operational giro (e.g., NFe volume) to support prioritization.
- Deterministic prioritization rules: applies predefined escalation and scoring rules before invoking any LLM to reduce cost and improve consistency.
- LLM-assisted classification: derives category, sentiment, and keywords when deterministic rules are insufficient, ensuring a consistent output contract for queue operations.
- Operationally safe output: returns a fixed, parseable JSON assessment for the operator to decide whether to apply actions, without writing to the database.
Quick Start
Ask the AI to triage and prioritize a specific conversation by sending: analyze the ticket/conversation and return the priority and recommended next action in JSON.