Tone Calibration

SkillMedia

Adjusting formality, warmth, confidence, and style per context.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Tone Calibration skill

What this skill tells your AI

The instructions your AI receives, as published by owl-listener/ai-design-skills in skills/system-behavior-shaping/tone-calibration/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
173
Forks
33
Last commit
Jun 2026
Advanced
Catalog kind
skill
Gateway key
tone-calibration
Source
github.com/owl-listener/ai-design-skills