Frontend Design Review
Review and create distinctive, production-grade frontend interfaces with high design quality and design system compliance. Evaluates using three pillars: frictionless insight-to-action, quality craft, and trustworthy building. USE FOR: PR reviews, design reviews, accessibility audits, design system compliance checks, creative frontend design, UI code review, component reviews, responsive design checks, theme testing, and creating memorable UI. DO NOT USE FOR: Backend API reviews, database schema reviews, infrastructure or DevOps work, pure business logic without UI, or non-frontend code.
MCP get_skill({ skillId: "frontend-design-review-6ef84760" })Use this skill with your agent
Create a free account and connect via MCP
# Frontend Design Review Review UI implementations against design quality standards and your design system **OR** create distinctive, production-grade frontend interfaces from scratch. ## Two Modes ### Mode 1: Design Review Evaluate existing UI for design system compliance, three quality pillars (Frictionless, Quality Craft, Trustworthy), accessibility, and code quality. ### Mode 2: Creative Frontend Design Create distinctive interfaces that avoid generic "AI slop" aesthetics, have clear conceptual direction, and execute with precision. --- ## Creative Frontend Design Before coding, commit to an aesthetic direction: - **Purpose**: What problem does this solve? Who uses it? - **Tone**: minimal, maximalist, retro-futuristic, organic, luxury, playful, editorial, brutalist, art deco, soft/pastel, industrial, etc. - **Constraints**: Framework, performance, accessibility requirements. - **Differentiation**: What makes this distinctive and context-appropriate? ### Aesthetics Guidelines - **Typography**: Distinctive fonts that elevate aesthetics. Pair a display font with a refined body font. Avoid Inter, Roboto, Arial, Space Grotesk. - **Color & Theme**: Cohesive palette with CSS variables. Dominant colors + sharp accents > timid, evenly-distributed palettes. - **Motion**: CSS-only preferred. One well-orchestrated page load with staggered reveals > scattered micro-interactions. - **Spatial Composition**: Asymmetry, overlap, diagonal flow, grid-breaking elements, generous negative space OR controlled density. - **Backgrounds**: Gradient meshes, noise textures, geometric patterns, layered transparencies, dramatic shadows, grain overlays. **AVOID**: Overused fonts, cliched color schemes, predictable layouts, cookie-cutter design without context-specific character. Match implementation complexity to vision. Maximalist = elaborate code. Minimalist = restraint and precision. --- ## Design Review ### Design System Workflow **Before implementing:** 1. Review component in your Storybook / component library for API and usage 2. Use Figma Dev Mode to get exact specs (spacing, tokens, properties) 3. Implement using design system components + design tokens **During review:** 1. Compare implementation to Figma design 2. Verify design tokens are used (not hardcoded values) 3. Check all variants/states are implemented correctly 4. Flag deviations (needs design approval) **If component doesn't exist:** 1. Check if existing component can be adapted 2. Reach out to design for new component creation 3. Document exception and rationale in code ### Review Process 1. Identify user task 2. Check design system for matching patterns 3. Evaluate aesthetic direction 4. Identify scope (component, feature, or flow) 5. Evaluate each pillar 6. Score and prioritize issues (blocking/major/minor) 7. Provide recommendations with design system examples ### Core Principles - **Task completion**: Minimum clicks. Every screen answers "What can I do?" and "What happens next?" - **Action hierarchy**: 1-2 primary actions per view. Progressive disclosure for secondary. - **Onboarding**: Explain features on introduction. Smart defaults over configuration. - **Navigation**: Clear entry/exit points. Back/cancel always available. Breadcrumbs for deep flows. --- ## Quality Pillars ### 1. Frictionless Insight to Action **Evaluate:** Task completable in ≤3 interactions? Primary action obvious and singular? **Red flags:** Excessive clicks, multiple competing primary buttons, buried actions, dead ends. ### 2. Quality is Craft **Evaluate:** - Design system compliance: matches Figma specs, uses design tokens - Aesthetic direction: distinctive typography, cohesive colors, intentional motion - Accessibility: Grade C minimum (WCAG 2.1 A), Grade B ideal (WCAG 2.1 AA) **Red flags:** Generic AI aesthetics, hardcoded values, implementation doesn't match Figma, broken reflow, missing focus indicators. ### 3. Trustworthy Building **Evaluate:** - AI transparency: disclaimer on AI-generated content - Error transparency: actionable error messages **Red flags:** Missing AI disclaimers, opaque errors without guidance. --- ## Review Output Format See [references/review-output-format.md](references/review-output-format.md) for the full review template. ## Review Type Modifiers See [references/review-type-modifiers.md](references/review-type-modifiers.md) for context-specific review focus areas (PR, Creative, Design, Accessibility). ## Quick Checklist See [references/quick-checklist.md](references/quick-checklist.md) for the pre-approval checklist covering design system compliance, aesthetic quality, frictionless, quality craft, and trustworthy pillars. ## Pattern Examples See [references/pattern-examples.md](references/pattern-examples.md) for good/bad examples of creative frontend and design system review work. --- ## Acknowledgments Creative frontend principles inspired by [Anthropic's frontend-design skill](https://github.com/anthropics/skills/tree/main/skills/frontend-design). Design review principles and quality pillar framework created by [@Quirinevwm](https://github.com/Quirinevwm) for systematic UI evaluation.
Related Skills
More skills in Design, Media & Creative
Ableton Lom
Ableton Live Object Model (LOM) API reference for Python Remote Scripts and control surface development.
Accessibility Compliance
Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.
Adobe Illustrator Scripting
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
🎬 AI Cinema Director Skill
Direct high-fidelity cinematic video with AI — translates creative intent into technical cinematographic directives for Veo3, Kling, and Luma video models via muapi.ai
AI Clipping
Turn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's `/ai-clipping` endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical value), overlap dedupe, and vertical face-tracking auto-crop server-side. No local Whisper, no local LLM, no GPU.
AI Workflow Builder
Build, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain image generation, video creation, enhancement, and editing into automated pipelines.
Explore Other Categories
Skills from other categories with shared topics
Copilot SDK
Build applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Copilot across Node.js/TypeScript, Python, Go, or .NET. Covers session management, custom tools, streaming, hooks, MCP servers, BYOK providers, session persistence, custom agents, skills, and deployment patterns. Requires GitHub Copilot CLI installed and a GitHub Copilot subscription (unless using BYOK).
Wiki Researcher
Conducts multi-turn iterative deep research on specific topics within a codebase with zero tolerance for shallow analysis. Use when the user wants an in-depth investigation, needs to understand how something works across multiple files, or asks for comprehensive analysis of a specific system or pattern.
Airunway Aks Setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".