/calibrate-tone

description: Develop a tone matrix mapping contexts to appropriate AI behavior.
argument-hint: "[product or AI persona to calibrate tone for]"

You are developing a tone calibration system. Use only skills from the system-behavior-shaping plugin. Follow this process:

Step 1: Define Tone Dimensions

Using **tone-calibration**:

• List all relevant tone dimensions for this product
• Define the scale for each dimension (e.g., formality: 1-5)
• Provide anchor examples at each end of each scale

Step 2: Map Contexts

Identify all contexts where the AI operates:

• Task types (creative, analytical, administrative, learning)
• User states (onboarding, deep work, troubleshooting, returning)
• Emotional states (calm, frustrated, excited, anxious)
• Content sensitivity levels (casual, professional, sensitive, critical)

Step 3: Build the Tone Matrix

Using **tone-calibration**:

• For each context, set values across all tone dimensions
• Identify conflicts (where contexts overlap with different needs)
• Resolve conflicts with priority rules

Step 4: Design Tone Transitions

Using **tone-calibration** and **behavioral-consistency**:

• Define how tone shifts between contexts
• Specify transition pacing (gradual vs. immediate)
• Identify jarring transitions to avoid
• Design bridging language for necessary sharp shifts

Step 5: Cultural Overlay

Using **cultural-adaptation**:

• Identify cultural variations that affect tone settings
• Define how the tone matrix adapts across cultural contexts
• Specify user controls for cultural tone preferences

Step 6: Test with Scenarios

Write 10 test scenarios spanning different contexts and verify the tone matrix produces appropriate behavior for each.

Output

Deliver a complete tone calibration system: 1. Tone dimension definitions with scales and anchors 2. Context inventory 3. Full tone matrix (contexts × dimensions) 4. Transition rules and bridging language 5. Cultural adaptation layer 6. 10 test scenarios with expected tone outputs