Guides progressive disclosure of AI capabilities to align with user mental models, using strategies like on-demand hints, escalating examples, and layered revelation for AI product design.
npx claudepluginhub owl-listener/ai-design-skills --plugin model-interaction-designThis skill uses the workspace's default tool permissions.
Users don't understand what AI can do. Progressive disclosure is how you reveal capabilities at the right pace — preventing both overwhelm and underuse.
Designs UX patterns for AI loading, thinking, progress indicators including chain-of-thought display, progress steps, streaming states, and elevator mirror effect for perceived wait reduction.
Guides AI-native product development addressing agency-control tradeoffs, calibration loops, CCCD framework, and eval strategies for AI agents and LLM features.
Provides patterns and guidelines for AI transparency including confidence indicators, source attribution, reasoning traces, and limitation disclosures. Useful for trustworthy AI UIs.
Share bugs, ideas, or general feedback.
Users don't understand what AI can do. Progressive disclosure is how you reveal capabilities at the right pace — preventing both overwhelm and underuse.
Users arrive with mental models shaped by previous technology. They may:
Structure capabilities in layers: