This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Product design across UI/UX, design systems, prototyping, and user research. Use when creating user journey maps, building wireframes, defining design tokens and component systems, planning usability tests, or establishing design principles.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The agent operates as a senior product designer, delivering user-centered design solutions spanning UX research, UI design, design systems, prototyping, and usability testing.
Before generating the design deliverable, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Day | Activity | Output |
|---|---|---|
| Monday | Map problem, interview experts | Challenge map, target area |
| Tuesday | Sketch solutions, Crazy 8s | Solution sketches |
| Wednesday | Decide, storyboard | Testable hypothesis |
| Thursday | Build prototype | Realistic clickable prototype |
| Friday | Test with 5 users | Validated/invalidated hypothesis |
PERSONA: Sarah, Product Manager, goal: find analytics insights fast
STAGE: AWARENESS CONSIDER PURCHASE ONBOARD RETAIN
Actions: Searches Compares Signs up Configures Uses daily
Touchpoint: Google Website Checkout Setup wizard App
Emotion: Frustrated Curious Anxious Hopeful Satisfied
Pain point: Too many Hard to Complex Slow setup Missing
options compare pricing features
Opportunity: SEO content Comparison Simplify Quick-start Feature
tool flow template education
Card Sorting Methods:
Example Site Map:
Home
+-- Products
| +-- Category A
| | +-- Product 1
| | +-- Product 2
| +-- Category B
+-- About
| +-- Team
| +-- Careers
+-- Resources
| +-- Blog
| +-- Help Center
+-- Account
+-- Profile
+-- Settings
/* Color tokens */
--color-primary-500: #3b82f6;
--color-primary-600: #2563eb;
--color-gray-50: #f9fafb;
--color-gray-900: #111827;
--color-success: #10b981;
--color-warning: #f59e0b;
--color-error: #ef4444;
/* Typography scale */
--text-sm: 0.875rem; /* 14px */
--text-base: 1rem; /* 16px */
--text-lg: 1.125rem; /* 18px */
--text-xl: 1.25rem; /* 20px */
--text-2xl: 1.5rem; /* 24px */
/* Spacing (4px base unit) */
--space-1: 0.25rem; /* 4px */
--space-2: 0.5rem; /* 8px */
--space-4: 1rem; /* 16px */
--space-6: 1.5rem; /* 24px */
--space-8: 2rem; /* 32px */
Button/
+-- Variants: Primary, Secondary, Tertiary, Destructive
+-- Sizes: Small (32px), Medium (40px), Large (48px)
+-- States: Default, Hover, Active, Focus, Disabled, Loading
+-- Anatomy: [Leading Icon] Label [Trailing Icon]
{
"color": {
"primary": {"50": {"value": "#eff6ff"}, "500": {"value": "#3b82f6"}},
"semantic": {"success": {"value": "{color.green.500}"}, "error": {"value": "{color.red.500}"}}
},
"spacing": {"xs": {"value": "4px"}, "sm": {"value": "8px"}, "md": {"value": "16px"}},
"borderRadius": {"sm": {"value": "4px"}, "md": {"value": "8px"}, "full": {"value": "9999px"}}
}
# Usability Test: New Checkout Flow
## Objectives
- Validate that users can complete purchase in < 3 minutes
- Identify friction points in address and payment steps
## Participants
- 6 users (3 new, 3 returning)
- Mix of desktop and mobile
## Tasks
1. "Find a laptop under $1,000 and add it to your cart" (browse + add)
2. "Complete the purchase using a credit card" (checkout flow)
3. "Change the shipping address on your order" (post-purchase edit)
## Success Criteria
| Task | Completion Target | Time Target |
|------|-------------------|-------------|
| Browse + Add | 100% | < 60s |
| Checkout | 90%+ | < 180s |
| Edit address | 80%+ | < 90s |
## Metrics
- Task completion rate
- Time on task
- Error count per task
- System Usability Scale (SUS) score (target: 68+)
| Fidelity | Purpose | Tools | Timeline |
|---|---|---|---|
| Paper | Quick exploration | Paper, pen | Minutes |
| Low-fi | Flow validation | Figma, Sketch | Hours |
| Mid-fi | Usability testing | Figma | Days |
| High-fi | Dev handoff, final testing | Figma | Days-Weeks |
Evaluates a UI design against Nielsen's 10 Usability Heuristics and accessibility standards. Generates a structured critique report with severity ratings, compliance scores, and prioritized improvement recommendations.
| Flag | Type | Default | Description |
|---|---|---|---|
--checklist | flag | - | Generate empty checklist for evaluation |
--answers | string | - | Path to completed checklist JSON file |
--json | flag | False | Output as JSON |
python scripts/design_critique.py --checklist
python scripts/design_critique.py --checklist --json > checklist.json
python scripts/design_critique.py --answers completed_checklist.json
python scripts/design_critique.py --answers completed_checklist.json --json
Creates structured user journey maps with emotion curves, pain point identification, and opportunity analysis. Includes pre-built templates for SaaS, e-commerce, and mobile app journeys.
| Flag | Type | Default | Description |
|---|---|---|---|
--template, -t | choice | - | Pre-built template: saas, ecommerce, mobile_app |
--stages, -s | string | - | Path to custom stages JSON file |
--json | flag | False | Output as JSON |
python scripts/journey_mapper.py --template saas
python scripts/journey_mapper.py --template ecommerce --json
python scripts/journey_mapper.py --stages custom_journey.json
Calculates System Usability Scale (SUS) scores and task performance metrics from usability test data. Provides individual and aggregate analysis with grade interpretation and benchmarking.
| Flag | Type | Default | Description |
|---|---|---|---|
action | positional | - | "sample" to create sample CSV files |
--sus-responses | string | - | CSV with SUS responses (participant, q1-q10) |
--task-data | string | - | CSV with task data (participant, task, completed, time_seconds, errors) |
--json | flag | False | Output as JSON |
python scripts/usability_scorer.py sample
python scripts/usability_scorer.py --sus-responses responses.csv
python scripts/usability_scorer.py --task-data tasks.csv
python scripts/usability_scorer.py --sus-responses responses.csv --task-data tasks.csv --json
| Problem | Cause | Solution |
|---|---|---|
| SUS score below 68 (benchmark) | Significant usability issues | Focus on critical severity findings from design_critique first |
| Low task completion rate (<80%) | Task flow too complex or unclear | Simplify flow; add progressive disclosure; reduce steps |
| Users cannot find features | Poor information architecture | Conduct card sorting; redesign navigation; add search |
| High error rate on forms | Insufficient validation and guidance | Add inline validation, smart defaults, and contextual help |
| Inconsistent design across screens | Missing or ignored design system | Audit with design_critique; enforce token usage |
| Usability test participants are unrepresentative | Poor recruitment criteria | Screen for target persona match; mix new and returning users |
| Journey map emotions are flat | Insufficient research data | Conduct deeper interviews; observe real usage sessions |
| Criterion | Target | How to Measure |
|---|---|---|
| SUS score | >68 (industry average), target >80 | usability_scorer aggregate score |
| Task completion rate | >85% for core flows | usability_scorer task metrics |
| Time on task | <2x expected duration | usability_scorer avg_time_seconds |
| Design critique compliance | >80% checklist pass rate | design_critique compliance_score |
| Accessibility compliance | WCAG AA on all screens | design_critique accessibility section |
| Journey map coverage | All key personas mapped | Count of completed journey maps |
| Usability test cadence | Test every sprint or release | Count of tests per quarter |
In scope:
Out of scope:
| Tool / Platform | Integration Method | Use Case |
|---|---|---|
| Figma | Journey map and critique findings as design specs | Translate research into design changes |
| Maze / UserTesting | Export task data CSV for usability_scorer | Score test results from remote testing platforms |
| Dovetail / Condens | Export interview themes for journey_mapper | Build journey maps from research repositories |
| Jira / Linear | design_critique JSON priorities as tickets | Track usability improvements in sprint backlog |
| Notion / Confluence | Human-readable output from all tools | Document research findings and design decisions |
| Miro / FigJam | journey_mapper JSON output | Collaborative journey map workshops |
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.