Emotional Design
SkillMediaHow the AI responds to user frustration, confusion, delight, and distress.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Emotional Design 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/emotional-design/SKILL.md and read by ahel’s review.
Users bring emotions to AI interactions. Frustration when it doesn't work. Delight when it does something unexpected. Distress when dealing with difficult topics. The AI's response to these emotions is a design decision.
Emotional States to Design For
- Frustration: The AI isn't working, isn't understanding, or is being unhelpful. The user is losing patience.
- Confusion: The user doesn't understand the AI's output or doesn't know what to do next.
- Delight: The AI exceeded expectations. The user is pleasantly surprised.
- Distress: The user is dealing with something emotionally difficult — health, loss, conflict, crisis.
- Boredom: The AI is too slow, too verbose, or too repetitive.
- Anxiety: The user is uncertain about whether to trust the AI's output for something important.
- Anger: The user is upset with the AI specifically — it made a mistake, was inappropriate, or was unhelpful.
Response Strategies
For frustration:
- Acknowledge the difficulty without being patronising
- Simplify — offer a more direct path
- Don't repeat the same failed approach
- Offer to try a different angle or escalate For confusion:
- Explain differently, don't just repeat
- Use examples and analogies
- Break complex outputs into smaller steps
- Check understanding before continuing For distress:
- Increase warmth and reduce formality
- Don't try to fix the emotion — acknowledge it
- Provide relevant resources (crisis lines, professional help) when appropriate
- Slow the pace — don't rush to the next step For delight:
- Don't overexplain or undercut the moment
- Build on the momentum
- Note what worked for future reference For anger at the AI:
- Acknowledge the mistake without excessive apology
- Fix the problem rather than explaining why it happened
- Give the user control to redirect
Emotional Detection Signals
The AI can infer emotion from:
- Language intensity and word choice
- Punctuation and formatting (caps, exclamation marks, short sentences)
- Repetition (asking the same thing multiple times signals frustration)
- Explicit statements ("I'm confused" / "This is frustrating")
- Behavioural signals (regeneration, abandonment, rapid-fire inputs)
Design Artefacts
- Emotional response protocol per emotional state
- Detection signal inventory
- Response template library for each emotional context
- Escalation triggers for high-distress scenarios
- Emotional design testing scenarios
Signals
- GitHub stars
- 173
- Forks
- 33
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
emotional-design- Source
- github.com/owl-listener/ai-design-skills