ai-design-skills
Design AI personas, conversations, guardrails, and evaluations
All Skills in This Repository (44)
Pure Emerald Level Indicatorserror-personality
Provide structured guidelines for communicating errors, uncertainty, and limitations gracefully.
domain-voice
Configure domain-specific voice profiles for vocabulary, precision, and risk tolerance.
emotional-design
Detect user emotional states and generate empathetic response templates with escalation rules.
tone-calibration
Adjust AI response tone to match context using a tone matrix.
cultural-adaptation
Adapt AI behavior to cultural contexts with language localization and tone control.
persona-architecture
Codify AI persona traits, voice, and behavioral rules into a blueprint.
behavioral-consistency
Standardize AI behavior across sessions, contexts, and modalities.
feedback-loops
Converts user feedback into actionable AI improvement signals.
frustration-detection
Detect frustration signals from text to trigger adaptive responses.
multimodal-orchestration
Coordinate multimodal AI interactions across text, image, and voice.
progressive-disclosure
Reveal AI capabilities gradually through escalating examples and on-demand hints.
context-window-design
Guide memory and persistence design within AI context window constraints.
Frequently Asked Questions
FAQPage SchemaHow to install ai-design-skills?โผ
Run `npx skills add Owl-Listener/ai-design-skills --all -g -y` in your terminal to install all skills in this collection globally.
What problems do these design skills solve?โผ
They help you design AI personas, conversation flows, error handling, guardrails, and evaluation rubrics so your AI product behaves consistently and safely.
Do these skills work with Claude Code and Gemini CLI?โผ
Yes. Every skill ships in both Claude plugin and Gemini extension formats, and the agent loads the right skill automatically based on your request.
Can non-engineers use these design skills?โผ
Yes. The skills are plain-language design frameworks, so product managers and designers can use them through natural conversation without writing code.
How do I evaluate AI output quality with these skills?โผ
The evaluation plugin provides rubrics, failure taxonomies, and task-success metrics so you can score outputs consistently and catch quality drift over time.
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