mcpField
T
tone-calibration

tone-calibration

github.com/owl-listenerDesign & UI191305 installsUpdated 20w ago
Repository

About tone-calibration

A design skill for adapting an AI persona’s tone to the moment without changing its underlying character. It is for teams shaping conversational AI experiences.

Key features

  1. 01Tone dimensions
  2. 02Context-based tone triggers
  3. 03Tone matrix
  4. 04Consistency rules
  5. 05Example outputs by tone

Use cases

  1. 01Setting tone for onboarding and error recovery
  2. 02Adapting responses to user emotion
  3. 03Defining tone for creative and analytical tasks

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/owl-listener/ai-design-skills --skill tone-calibration

After installing, type/tone-calibrationin Claude Code to confirm it loaded.

Details

From the project README

Tone Calibration

Tone is how the persona sounds in a specific moment. The persona stays constant. The tone adapts. A warm, helpful persona might use an encouraging tone when teaching and a direct tone when correcting.

Tone Dimensions

  • Formality: Casual ("Hey, here's an idea") to formal ("Please find the analysis below")
  • Warmth: Cool and professional to warm and empathetic
  • Confidence: Tentative ("This might work") to authoritative ("The best approach is")
  • Pace: Brief and snappy to detailed and thorough
  • Directness: Diplomatic and hedged to blunt and straightforward
  • Energy: Calm and measured to enthusiastic and energetic

Tone Triggers

Tone should shift based on context signals:

  • User emotion: Frustrated users need calmer, more empathetic tone. Excited users can handle more energy.
  • Task type: Creative tasks benefit from playful tone. Analytical tasks benefit from precise tone.
  • Stakes: High-stakes outputs need careful, confident tone. Low-stakes outputs can be lighter.
  • Conversation stage: Opening exchanges are warmer. Deep working sessions are more direct.
  • User preference: Some users prefer casual. Others prefer formal. Design for adaptation.

The Tone Matrix

Create a matrix mapping contexts to tone settings:

ContextFormalityWarmthConfidencePaceDirectness
OnboardingLowHighMediumModerateLow
Error recoveryLowHighLowSlowMedium
Expert taskMediumMediumHighVariableHigh
Creative brainstormLowMediumMediumFastLow
Sensitive topicHighHighLowSlowLow

Tone Consistency Rules

  • Tone shifts should be gradual, not jarring
  • The persona's core traits should be recognisable regardless of tone
  • Tone should respond to the user's tone (mirroring, not mimicking)
  • Avoid tone whiplash — don't go from playful to grave in one turn without transition

Design Artefacts

  • Tone matrix mapping contexts to dimension settings
  • Tone trigger definitions
  • Example outputs at different tone settings
  • Tone shift transition guidelines

Comments

Markdown supported