ncklrs/claude-chrome-user-testing/user-testing

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Comprehensive persona-based user testing skill for web applications. Simulates how real users from different demographics interact with interfaces, including realistic timing, behavioral patterns, and frustration triggers. Use when: - Testing user interfaces before release - Validating UX flows from diverse perspectives - Conducting accessibility reviews - Optimizing onboarding or checkout experiences - Getting feedback on form design

Install

npx vskill@latest install ncklrs/claude-chrome-user-testing/user-testing

SKILL.md

User Testing Skill

Overview

This skill enables persona-based user testing that simulates how real users interact with web applications. It combines behavioral psychology, UX research methodologies, and browser automation to provide authentic testing experiences.

When to Use This Skill

  • Pre-release testing: Test new features before they ship
  • UX validation: Verify that flows work for different user types
  • Accessibility review: Check clarity and usability across skill levels
  • Form optimization: Test form completion rates and friction points
  • Onboarding analysis: Evaluate first-time user experience
  • Checkout testing: Identify cart abandonment risks

Persona System

Available Personas
IDGenerationTech ComfortPatienceKey Trait
boomer-tech-averseBoomer2/107/10Needs explicit guidance
boomer-tech-friendlyBoomer6/108/10Prefers familiar patterns
millennial-tech-skepticMillennial7/105/10Skeptical of manipulation
genz-digital-nativeGen Z9/103/10Expects instant results
genalpha-tablet-kidGen Alpha8/102/10Touch-first, visual
Gender Variants

Each persona has three gender variants with different names and subtle trait adjustments:

  • Male: Slightly different communication style
  • Female: Slightly different priorities and observations
  • Neutral: Balanced default variant
Persona Structure

Personas are defined in JSON files with this schema:

json
{
  "id": "persona-id",
  "name": "Display Name",
  "generation": "boomer|millennial|genz|genalpha",
  "techComfort": 1-10,
  "patience": 1-10,
  "genderVariants": {
    "male": { "name": "...", "pronouns": "he/him", "traits": [...] },
    "female": { "name": "...", "pronouns": "she/her", "traits": [...] },
    "neutral": { "name": "...", "pronouns": "they/them", "traits": [...] }
  },
  "traits": {
    "readingSpeed": "slow|medium|fast",
    "clickConfidence": "hesitant|normal|decisive",
    "errorRecovery": "confused|methodical|adaptive",
    "scrollBehavior": "careful|normal|impatient",
    "formFilling": "cautious|normal|rushed"
  },
  "timing": {
    "baseReadingWPM": 100-400,
    "clickDelay": 300-3000,
    "hoverBeforeClick": 200-1500,
    "confusionPause": 5000-30000,
    "successPause": 300-2000,
    "pageLoadTolerance": 2000-10000
  },
  "narrationStyle": {
    "vocabulary": "simple|moderate|technical|casual",
    "frustrationThreshold": 1-10,
    "verbosity": "quiet|normal|chatty",
    "expressions": ["...", "..."]
  },
  "frustrationTriggers": ["...", "..."],
  "positiveReactions": ["...", "..."],
  "typicalBehaviors": ["...", "..."]
}

Timing System

Reading Time Calculation
base_time = (word_count / persona.timing.baseReadingWPM) * 60 * 1000  // ms
adjusted_time = base_time * complexity_modifier
final_time = adjusted_time * random(0.8, 1.2)  // Add variance

Complexity Modifiers:

  • Simple text: 1.0x
  • Technical jargon: 1.5x (varies by persona)
  • Legal/privacy text: 2.0x for skeptics, 0.5x for impatient users
Interaction Delays
ActionTech-AverseTech-FriendlyTech-SkepticDigital NativeTablet Kid
Click2000-3000ms800-1200ms600-1000ms200-400ms300-600ms
Form field1500ms800ms600ms200ms400ms
Decision5000ms2000ms3000ms500ms1000ms
Confusion20000ms10000ms8000ms5000ms3000ms
Confusion Simulation

When a persona encounters confusing UI:

  1. Initial Pause: Extended delay (5-30 seconds based on patience)
  2. Visual Scanning: Look around the page for clues
  3. Verbal Expression: Narrate confusion in character
  4. Recovery Attempt: Try alternative approaches
  5. Potential Abandonment: If frustration threshold exceeded

Report Format

Real-Time Narration

During testing, output continuous first-person narration:

[10:32:15] [Gen Z - Jayden] [NAVIGATE]
"Okay let's see what this is about..."
 
[10:32:18] [Gen Z - Jayden] [SCAN]
"Lot of text... skip... skip... where's the sign up button?"
 
[10:32:20] [Gen Z - Jayden] [CLICK]
"There it is. Let's go."
 
[10:32:25] [Gen Z - Jayden] [FRUSTRATION]
"Bruh, why do they need my phone number?? This is sus."
Summary Report Structure
markdown
# User Testing Report
 
## Session Overview
-**Persona**: [Name] ([ID])
-**Gender Variant**: [Male/Female/Neutral]
-**URL Tested**: [URL]
-**Tasks Attempted**: [List]
-**Overall Success**: [X/Y tasks completed]
 
## Executive Summary
[1-2 paragraph overview]
 
## Task Analysis
 
### Task 1: [Description]
-**Status**: Completed / Partial / Failed
-**Time**: [Duration]
-**Confusion Points**:
  -[Timestamp]: [What caused confusion]
-**Screenshots**: [Links]
 
## Usability Issues
 
### Critical (Task Blockers)
1.**[Issue]**
   -Personas affected: [List]
   -Evidence: [Screenshot/description]
   -Recommendation: [Fix]
 
### Major (High Frustration)
...
 
### Minor (Suboptimal)
...
 
## Persona-Specific Insights
[Observations unique to this persona's worldview]
 
## Prioritized Recommendations
| Priority | Issue | Recommendation | Affected Personas |
|----------|-------|----------------|-------------------|
| P0 | ... | ... | All |
| P1 | ... | ... | Tech-averse |

Usage Examples

Basic Test
/user-test --url https://example.com --persona genz-digital-native
With Specific Tasks
/user-test --url https://shop.example.com --persona boomer-tech-averse --tasks "find product, add to cart, checkout"
With Gender Variant
/user-test --url https://app.example.com --persona millennial-tech-skeptic --gender f
Verbose Mode
/user-test --url https://example.com --persona genalpha-tablet-kid --verbose

Best Practices

For Accurate Testing
  1. Test Multiple Personas: Different users find different issues
  2. Include Edge Cases: Tech-averse users reveal clarity issues
  3. Document Everything: Screenshots capture evidence
  4. Compare Results: Cross-persona patterns reveal universal issues
For Actionable Results
  1. Prioritize by Severity: Critical > Major > Minor
  2. Note Affected Personas: Some issues only affect certain users
  3. Provide Recommendations: Don't just report problems
  4. Include Evidence: Screenshots make issues undeniable

Integration with Chrome

This skill requires claude --chrome for browser automation:

bash
# Start Claude with Chrome integration
claude --chrome
 
# Then run user tests
/user-test --url https://your-app.com --persona genz-digital-native

The skill uses Playwright MCP tools:

  • browser_navigate - Page navigation
  • browser_snapshot - Accessibility tree analysis
  • browser_click - Element interaction
  • browser_type - Text input
  • browser_take_screenshot - Evidence capture

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

See the full security report

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

See evaluation results

Source

Popularity

Repository stars
14
Repository forks
2
7-day trend score
14

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 7 Apr 2026, 7 months ago.

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