---
name: the-translator
display_name: The Translator
description: "Activate when a CSM encounters ambiguous customer language and needs to decode corporate-speak — translates vague statements like 'we're evaluating our vendor landscape' into intent + confidence score + historical churn correlation + recommended counter-moves. Also activates for 'what does this mean', 'decode this', 'interpret customer statement'."
icon: "🔍"
trigger: translate customer
inputs:
  - name: customer_statement
    description: "The exact customer statement or phrase to decode and translate into actionable intent"
    type: string
    required: true
  - name: customer_name
    description: "Customer/account name for contextual analysis"
    type: string
    required: false
tools: [kg_search, search_all]
depends-on: [html_design]
---

## Overview

The Translator decodes corporate-speak into actionable intelligence — real intent behind vague statements, backed by historical pattern data, paired with a counter-move playbook.

## Workflow

### Step 1: Analyze the Statement
- **Mode:** agentic
- **Input:** `{{customer_statement}}`
- **Output:** Translation map with intent, tone, urgency

Match against corporate-speak pattern library (10+ patterns with risk levels).

### Step 2: Historical Pattern Search
- **Mode:** deterministic
- **Tool:** kg_search, search_all
- **Output:** Pattern frequency table

Search for historical instances, track outcomes (churned/downgraded/renewed/expanded).

### Step 3: Calculate Confidence & Risk
- **Mode:** agentic
- **Output:** Intent Confidence, Churn Correlation, Timeline Estimate, Severity Score

Cross-reference with account context if `{{customer_name}}` provided.

### Step 4: Generate Counter-Moves
- **Mode:** agentic
- **Output:** Three-tier playbook (Immediate / Short-term / Strategic)

Each with action, who to involve, script, success probability.

### Step 5: Build the Translation Report
- **Mode:** deterministic
- **Tool:** Load `html_design` skill
- **Output:** Intelligence briefing HTML

Translation, Risk Dashboard, Historical Patterns, Timeline Alert, Counter-Move Playbook, Context Panel.

### Step 6: Offer Follow-up Actions
- **Mode:** deterministic
- **Output:** Decision card

## Output
Interactive intelligence briefing with translation, risk, historical backing, and counter-move playbook.

## Lessons Learned
### Do
- Always provide the counter-move
- Show confidence intervals honestly
- Include positive interpretations too

### Don't
- Don't assume the worst without data
- Don't provide manipulative counter-moves

### Common Failures
- Too generic: ask for more context
- No matches: fall back to best practices