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Ui Design Review

Organization
MadAppGang
ui-design-review

Prompting patterns and review templates for UI design analysis with Gemini multimodal capabilities. Use when conducting design reviews, accessibility audits, or design system validation.

Overview

PublisherMadAppGang
Repositoryclaude-code
Skill nameui-design-review
Stars
281
Forks
26
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MadAppGang on GitHub. Read the source before you install it.

Installation

Install the Ui Design Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MadAppGang/claude-code.git /tmp/claude-code
mkdir -p .claude/skills
cp -r /tmp/claude-code/plugins/dev/skills/design/ui-design-review .claude/skills/ui-design-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ui Design Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ui Design Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ui Design Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

UI Design Review Skill

Overview

This skill provides prompting patterns, checklists, and templates for conducting UI design reviews using Gemini's multimodal vision capabilities.

When to Use

  • Reviewing screenshots, wireframes, or mockups
  • Conducting accessibility audits
  • Validating design system consistency
  • Comparing implementation to design reference
  • Analyzing UI patterns and usability

Model Routing

Gemini API Key Detection

bash
# Check API key availability and select model
determine_gemini_model() {
  if [[ -n "$GEMINI_API_KEY" ]]; then
    echo "g/gemini-3-pro-preview"  # Direct Gemini API
  elif [[ -n "$OPENROUTER_API_KEY" ]]; then
    echo "google/gemini-3-pro-preview"  # OpenRouter
  else
    echo "ERROR: No API key available (need GEMINI_API_KEY or OPENROUTER_API_KEY)"
    return 1
  fi
}

GEMINI_MODEL=$(determine_gemini_model)

Why or/ Prefix for OpenRouter

The model ID google/gemini-3-pro-preview collides with Claudish's automatic routing:

Model IDRoutes ToRequires
google/gemini-*Gemini DirectGEMINI_API_KEY
google/gemini-*OpenRouterOPENROUTER_API_KEY
g/gemini-*Gemini Direct (explicit)GEMINI_API_KEY

Rule: Always use or/ prefix when routing Google models through OpenRouter.

Passing Images to Claudish

Method 1: Image File Path (Recommended)

bash
# Pass image file directly with --image flag
npx claudish --model "$GEMINI_MODEL" --image "$IMAGE_PATH" --quiet --auto-approve <<< "$ANALYSIS_PROMPT"

# Example
npx claudish --model "g/gemini-3-pro-preview" --image "screenshots/dashboard.png" --quiet --auto-approve <<< "Analyze this UI for usability issues."

Method 2: Base64 Encoded (For Inline Images)

bash
# Encode image to base64
IMAGE_B64=$(base64 -i "$IMAGE_PATH")

# Include in prompt with data URI
printf '%s' "[Image: data:image/png;base64,$IMAGE_B64]

Analyze this UI for usability issues." | npx claudish --stdin --model "$GEMINI_MODEL" --quiet --auto-approve

Method 3: URL Reference (For Remote Images)

bash
# Reference image by URL
printf '%s' "[Image: https://example.com/screenshot.png]

Analyze this UI for usability issues." | npx claudish --stdin --model "$GEMINI_MODEL" --quiet --auto-approve

Prompting Patterns

Pattern 1: General Usability Review

markdown
Analyze this UI screenshot for usability issues.

**Image**: [attached or path]

**Focus Areas**:
1. Visual hierarchy - Is the most important content prominent?
2. Affordances - Do interactive elements look clickable/tappable?
3. Feedback - Is system status clearly communicated?
4. Consistency - Do similar elements behave similarly?
5. Error prevention - Are destructive actions guarded?

**Output Format**:
For each issue found:
- **Location**: Where in the UI
- **Issue**: What the problem is
- **Principle**: Which design principle it violates
- **Severity**: CRITICAL/HIGH/MEDIUM/LOW
- **Recommendation**: Specific fix

Pattern 2: WCAG Accessibility Audit

markdown
Audit this UI for WCAG 2.1 AA compliance.

**Image**: [attached or path]

**Checklist**:
1. **Perceivable**
   - [ ] Text contrast >= 4.5:1 (WCAG 1.4.3)
   - [ ] Non-text contrast >= 3:1 (WCAG 1.4.11)
   - [ ] Information not conveyed by color alone (WCAG 1.4.1)
   - [ ] Text resizable to 200% (WCAG 1.4.4)

2. **Operable**
   - [ ] Keyboard accessible (WCAG 2.1.1)
   - [ ] No keyboard traps (WCAG 2.1.2)
   - [ ] Focus visible (WCAG 2.4.7)
   - [ ] Touch targets >= 44x44px (WCAG 2.5.5)

3. **Understandable**
   - [ ] Labels present for inputs (WCAG 3.3.2)
   - [ ] Error identification clear (WCAG 3.3.1)
   - [ ] Instructions available (WCAG 3.3.2)

4. **Robust**
   - [ ] Valid structure implied (headings, regions)

**Output Format**:
| Criterion | Status | Notes | Fix |
|-----------|--------|-------|-----|
| 1.4.3 | PASS/FAIL | Details | Recommendation |

Pattern 3: Design System Consistency Check

markdown
Compare this implementation against the design system.

**Implementation Image**: [attached or path]
**Design System Reference**: [tokens, components, patterns]

**Validation Points**:
1. **Colors**
   - Primary, secondary, accent colors
   - Semantic colors (success, warning, error)
   - Background and surface colors

2. **Typography**
   - Font family usage
   - Size scale adherence
   - Weight usage (regular, medium, bold)
   - Line height consistency

3. **Spacing**
   - Margin scale (4, 8, 16, 24, 32, 48...)
   - Padding consistency
   - Gap between elements

4. **Components**
   - Button variants (primary, secondary, ghost)
   - Input styles (default, focus, error, disabled)
   - Card patterns

5. **Elevation**
   - Shadow levels
   - Border usage
   - Layer hierarchy

**Output Format**:
| Element | Expected | Actual | Deviation |
|---------|----------|--------|-----------|
| Button BG | #2563EB | #3B82F6 | Wrong shade |

Pattern 4: Comparative Design Review

markdown
Compare the implementation screenshot to the original design.

**Design Reference**: [Figma export or mockup]
**Implementation**: [Screenshot of built UI]

**Comparison Points**:
1. Layout and positioning accuracy
2. Color fidelity
3. Typography matching
4. Spacing precision
5. Component rendering
6. Responsive behavior (if multiple sizes)

**Output Format**:
## Match Analysis

**Overall Fidelity**: X/10

### Exact Matches
- [List elements that match perfectly]

### Deviations
| Element | Design | Implementation | Impact | Fix |
|---------|--------|----------------|--------|-----|
| CTA Button | #2563EB | #3B82F6 | Visual | Change to design color |

### Missing Elements
- [Elements in design but not in implementation]

### Extra Elements
- [Elements in implementation but not in design]

Review Templates

Quick Review (5 minutes)

Focus on critical issues only:

  1. Can users complete the primary task?
  2. Are there any major accessibility barriers?
  3. Is the visual hierarchy clear?
  4. Are interactive elements obviously interactive?

Standard Review (15 minutes)

Full heuristic evaluation:

  1. All Nielsen's 10 heuristics
  2. WCAG AA key criteria
  3. Visual design quality
  4. Interaction design

Comprehensive Review (30+ minutes)

Deep analysis including:

  1. Full heuristic evaluation
  2. Complete WCAG AA audit
  3. Design system consistency
  4. Competitive analysis context
  5. User flow mapping

Severity Guidelines

SeverityUser ImpactExamplesAction
CRITICALBlocks task completionInvisible submit button, broken flowFix immediately
HIGHMajor barrierFails WCAG AA, confusing navigationFix before release
MEDIUMNoticeable frictionInconsistent spacing, unclear labelsFix in next sprint
LOWPolish opportunityMinor alignment, shade varianceBacklog

Integration with Multi-Model Validation

Use claudish CLI for multi-model design reviews:

bash
claudish --model google/gemini-3-pro-preview --stdin --quiet <<EOF > ${SESSION_PATH}/reviews/design-review/gemini.md
Review the dashboard screenshot at screenshots/dashboard.png

Focus on usability and accessibility.
EOF

This enables:

  • Running multiple design reviewers in parallel
  • Consensus analysis on design issues
  • Different model perspectives (Gemini vision, Claude reasoning)

Best Practices

DO

  • Always validate image inputs exist before analysis
  • Cite specific design principles for every issue
  • Provide actionable, specific recommendations
  • Prioritize by severity (CRITICAL first)
  • Use Gemini for visual analysis (not guessing)

DON'T

  • Give vague aesthetic opinions ("looks bad")
  • Overwhelm with LOW severity items
  • Forget accessibility considerations
  • Skip the principle citation
  • Assume implementation details without seeing

Frequently asked questions

What does the Ui Design Review AI skill do?

Prompting patterns and review templates for UI design analysis with Gemini multimodal capabilities. Use when conducting design reviews, accessibility audits, or design system validation.

Why use Ui Design Review on TypingMind?

Because you install it once and use it with any model. Ui Design Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ui Design Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MadAppGang/claude-code/tree/main/plugins/dev/skills/design/ui-design-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ui Design Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ui Design Review?

As many as you like. As long as a model supports skills, you can use Ui Design Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ui Design Review AI skill free?

Yes. It is published on GitHub by MadAppGang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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