Design

Generates data-driven user personas from behavioral data and interview insights. Includes archetype identification, psychographic analysis, scenario generation, and design implications. Outputs formatted personas with confidence scoring based on sample size.

This skill provides a context-aware design system for AI agents. It maps business types to specific design profiles, includes an anti-AI detection checklist to avoid generic outputs, and enforces consistent design tokens. It's triggered during UI creation tasks to ensure professional, non-AI-looking interfaces.

This skill provides a structured four-stage framework for creating and evaluating UI designs. It guides users from aesthetic analysis to functional implementation, micro-interactions, and storytelling. It integrates with other MCP tools for screenshot capture and AI image generation/analysis, offering concrete workflows for design iteration.

Provides structured templates for in-app messaging design, covering triggers, patterns, targeting rules, and measurement. Offers practical guidance for onboarding flows, feature announcements, and user engagement campaigns with localization considerations.

Captures visual design patterns from HTML mockups as structured prose descriptions, then applies those aesthetic 'vibes' to generate new mockups for different plugins with adaptive layouts. Manages a library of aesthetic templates with CRUD operations.

This skill provides guidance for designing iOS apps following Apple's Human Interface Guidelines. It helps generate native components, validate designs for compliance, and ensure accessibility features like VoiceOver and Dynamic Type are implemented correctly. The documentation includes specific code examples for SwiftUI components, navigation patterns, and design principles.