SKILL.md
$2a
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
User Journey Map Template
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
Information Architecture
Card Sorting Methods:
- Open sort: users create their own categories
- Closed sort: users place items into predefined categories
- Hybrid: combination approach
Example Site Map:
Home
+-- Products
| +-- Category A
| | +-- Product 1
| | +-- Product 2
| +-- Category B
+-- About
| +-- Team
| +-- Careers
+-- Resources
| +-- Blog
| +-- Help Center
+-- Account
+-- Profile
+-- Settings
UI Design Foundations
Design Principles
- Hierarchy - Visual weight guides attention via size, color, and contrast
- Consistency - Reuse patterns and components; maintain predictable interactions
- Feedback - Acknowledge every user action; show system status and loading states
- Accessibility - 4.5:1 color contrast minimum, focus indicators, screen reader support
Design Token System
/* 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 */
Component Structure
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]
Component Design Tokens (JSON)
{
"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"}}
}
Example: Usability Test Plan
# 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+)
Prototype Fidelity Guide
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
Scripts
# Design token generator
python scripts/token_generator.py --source tokens.json --output css/
# Accessibility checker
python scripts/a11y_checker.py --url https://example.com
# Asset exporter
python scripts/asset_export.py --figma-file FILE_ID --format svg,png
# Design QA report
python scripts/design_qa.py --spec spec.figma --impl https://staging.example.com
Reference Materials
references/design_principles.md- Core design principles
references/component_library.md- Component guidelines
references/accessibility.md- Accessibility checklist
references/research_methods.md- Research techniques
Tool Reference
design_critique.py
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
journey_mapper.py
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
usability_scorer.py
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
Troubleshooting
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
Success Criteria
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
Scope & Limitations
In scope:
- Heuristic evaluation and design critique
- User journey mapping with emotion curves
- Usability test scoring (SUS and task metrics)
- Design sprint facilitation structure
- Information architecture planning
- Prototype fidelity guidance
- Accessibility checkpoint evaluation
Out of scope:
- Automated visual regression testing (use Chromatic/Percy)
- Real-time analytics dashboards (use Amplitude/Mixpanel)
- Figma file manipulation or asset export (use Figma API)
- Eye tracking or biometric analysis
- A/B test implementation (see ab-test-setup skill)
- Design token generation (see ui-design-system or design-system-lead skills)
Integration Points
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