Skill UI

This skill provides access to official Anthropic brand identity resources, ensuring visual consistency across all documents. It automatically applies defined brand colors (primary, accent, neutral) and typography (Poppins for headings, Lora for body text) while maintaining structural integrity and readability. Ideal for professional reports, presentations, and marketing materials needing strict corporate adherence.

This skill provides access to Anthropic's official brand identity and style resources. It ensures consistent and professional visual branding by managing defined primary and accent color palettes, and applying specific typography rules (e.g., Poppins for headings, Lora for body text). It guarantees that the output maintains a cohesive, on-brand appearance across various systems.

Enforces mobile-first, touch-first decisions by requiring feasibility checks, mandatory readings, and anti-pattern bans before any UI work to prevent desktop or AI-default assumptions.

Utility to browse Google Fonts, capture trending faces, suggest pairings, and output import snippets plus Tailwind config so frontend teams can finalize typography systems quickly.

Comprehensive web and mobile design intelligence offering prioritized UX rules, 50+ styles, color palettes, typography pairings, and chart guidance to inform component design, accessibility checks, and landing/dashboard reviews.

Summarizes the Design of Everyday Things framework, covering discoverability, affordances, signifiers, and bridging the gulfs of execution and evaluation to keep interfaces intuitive and recoverable.

Detects AI-like Chinese prose, highlights suspicious patterns, and rewrites the text with natural rhythm while preserving facts and tone, including academic AIGC reduction and style conversions such as Zhihu or Xiaohongshu.

Evaluate interfaces against 168 research-backed UX/UI principles, detect antipatterns, and inject UX context during AI-assisted design or coding sessions to surface severity-tagged findings and actionable remediation.

Guides building Lark Whiteboard diagrams via @larksuite/whiteboard-cli and lark-cli, choosing Mermaid vs DSL paths, generating JSON/JS scripts, rendering PNGs, conducting pre-flight checks, and uploading to Feishu.