AGENT SKILL

sentiment-dashboard

Use for cross-channel sentiment view questions in the Customer Sentiment and Churn Prediction Agent synthetic pilot.

适用职业数据分析师
使用场景分析与可视化
License 许可
MIT
最近更新
2026-11-11
Stars
★ 8
Forks
9

01 前言 Front Matter

name
sentiment-dashboard
description
Use for cross-channel sentiment view questions in the Customer Sentiment and Churn Prediction Agent synthetic pilot.

03 SKILL.md 正文

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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%.

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