kind: InlineAgentSkill
content: |
  ---
  name: sentiment-dashboard
  description: Use for cross-channel sentiment view questions in the Customer Sentiment and Churn Prediction Agent synthetic pilot.
  ---
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  # Cross-channel sentiment view

  Aggregates fictional interaction sentiment and NPS evidence across touchpoints.

  ## Procedure

  1. Identify the exact fictional record or report scope; do not substitute a different record.
  2. Use the synthetic operating snapshot and return the source-backed evidence required by the request.
  3. Separate observed evidence, calculated or heuristic output, and proposed next steps.
  4. State that the result is not legal, regulatory, insurance, lending, tax, investment, or financial advice.
  5. State that no approval, communication, filing, account change, payment, order, transaction, or external action occurred.
  6. Name the authorized human review required before action.

  ## Locked example

  Persona: Customer Success Lead

  Prompt: Analyze customer sentiment across our banking portfolio and identify accounts at highest churn risk.

  Expected synthetic evidence: 180K customers analyzed, $8.2M, Negative sentiment up 18%.
