ancoleman/ai-design-components/guiding-users

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Implements onboarding and help systems including product tours, interactive tutorials, tooltips, checklists, help panels, and progressive disclosure patterns. Use when building first-time experiences, feature discovery, guided walkthroughs, contextual help, setup flows, or user activation features. Provides timing strategies, accessibility patterns (keyboard, screen readers, reduced motion), and metrics for measuring onboarding success.

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npx vskill@latest install ancoleman/ai-design-components/guiding-users

SKILL.md

Guiding Users Through Onboarding and Help Systems

Purpose

This skill provides systematic patterns for onboarding users and delivering contextual help, from first-time product tours to ongoing feature discovery. It covers the complete spectrum of user guidance mechanisms, ensuring optimal user activation, feature adoption, and self-service support.

When to Use

Activate this skill when:

  • Building first-time user experiences or product tours
  • Implementing feature discovery and announcements
  • Creating interactive tutorials or guided tasks
  • Adding tooltips, hints, or contextual help
  • Designing setup flows or completion checklists
  • Building help panels or documentation systems
  • Implementing progressive disclosure patterns
  • Measuring onboarding effectiveness and user activation
  • Ensuring onboarding accessibility

Quick Decision Framework

Select the appropriate guidance mechanism based on user state and content type:

First-time user → Product Tour (step-by-step)
New feature launch → Feature Spotlight (tooltip + animation)
Complex workflow → Interactive Tutorial (guided tasks)
Account setup → Checklist (progress tracking)
Contextual help needed → Tooltip/Hint system
Ongoing support → Help Panel (sidebar/searchable)
Feature unlock → Progressive Disclosure

Reference references/selection-framework.md for detailed selection criteria.

Core Guidance Mechanisms

Product Tours

Step-by-step walkthroughs that guide users through key features:

  • Sequential spotlights with modal overlays
  • Progress indicators (Step 2 of 5)
  • Skip, Previous, and Next controls
  • Dismiss and resume capability
  • Context-sensitive activation

Implementation:

bash
npm install react-joyride

See examples/first-time-tour.tsx for complete implementation. Reference references/product-tours.md for patterns and best practices.

Feature Spotlights

Announce new features to existing users:

  • Pulsing hotspot animations
  • Contextual tooltip with arrow
  • "Got it" acknowledgment
  • Auto-dismiss after first view
  • Non-blocking overlay

See examples/feature-spotlight.tsx for implementation. Reference references/tooltips-hints.md for patterns.

Interactive Tutorials

Guided task completion with validation:

  • "Complete these tasks to get started"
  • Checkbox completion tracking
  • Celebration animations on completion
  • Sandbox mode with sample data
  • Undo and reset capabilities

See examples/guided-tutorial.tsx for implementation. Reference references/interactive-tutorials.md for patterns.

Setup Checklists

Track multi-step onboarding progress:

  • Visual progress indicators (3/4 complete)
  • Direct links to each task
  • Profile completion percentages
  • Achievement badges and gamification
  • Persistent until completed

See examples/setup-checklist.tsx for implementation. Reference references/checklists.md for patterns.

Contextual Tooltips and Hints

Just-in-time help when users need it:

  • Hover or click-triggered tooltips
  • Progressive hint levels (1, 2, 3)
  • "Need help?" assistance triggers
  • Context-aware suggestions
  • Keyboard-accessible

See examples/contextual-help.tsx for implementation. Reference references/tooltips-hints.md for complete patterns.

Help Panels

Comprehensive help systems:

  • Sidebar or drawer interface
  • Contextual help based on current page
  • Search help articles and docs
  • Video tutorials and demos
  • Contact support integration
  • Collapsible and resizable

See examples/help-panel.tsx for implementation. Reference references/help-systems.md for patterns.

Timing and Triggering Strategies

When to Show Onboarding

Appropriate triggers:

  • First login (always)
  • Immediately after signup
  • New feature launch (to existing users)
  • User appears stuck (smart triggering based on inactivity)
  • User explicitly requests help
When NOT to Show Onboarding

Avoid showing when:

  • User is mid-task or focused
  • Shown in every session (becomes annoying)
  • Before allowing free exploration
  • Tour exceeds 7 steps (too long)
  • User already dismissed or completed

Auto-dismiss timing:

  • Simple tooltips: 5-7 seconds
  • Feature announcements: 10-15 seconds or manual dismiss
  • Tours: User-controlled, no auto-dismiss
  • Persistent hints: Until user acknowledges

Reference references/timing-strategies.md for detailed guidelines.

Progressive Disclosure Patterns

Show only what's needed, when it's needed:

Techniques:

  1. Accordion Help: Collapsed by default, expand for details
  2. "Learn More" Links: Deep dive content optional
  3. Advanced Settings: Hidden behind "Show advanced" toggle
  4. Gradual Feature Introduction: Unlock features as user progresses
  5. Contextual Hints: Show based on user actions

Reference references/progressive-disclosure.md for implementation patterns.

Accessibility Requirements

Keyboard Navigation

Essential keyboard support:

  • Tab through tour steps and controls
  • ESC to dismiss tours and tooltips
  • Arrow keys for Previous/Next navigation
  • Enter/Space to activate buttons
  • Focus visible indicators
Screen Reader Support

ARIA patterns for announcements:

  • Announce step number and total (Step 2 of 5)
  • Read tooltip and help content
  • Describe highlighted UI elements
  • Announce progress completion
  • Alert on errors or blockers
Reduced Motion

Respect prefers-reduced-motion:

  • Disable pulsing animations
  • Use instant transitions instead of animations
  • Remove parallax and complex effects
  • Maintain functionality without motion

To validate accessibility:

bash
node scripts/validate_accessibility.js

Reference references/accessibility-patterns.md for complete implementation.

Library Recommendations

Primary: react-joyride (Feature-Rich, Accessible)

Library: /gilbarbara/react-joyride Trust Score: 9.6/10 Code Snippets: 29+

Best for comprehensive product tours:

  • WAI-ARIA compliant out of the box
  • Full keyboard navigation support
  • Highly customizable styling
  • Programmatic control
  • Localization support
  • Active maintenance
bash
npm install react-joyride

See examples/joyride-tour.tsx for complete setup.

Alternative: driver.js (Lightweight, Modern)

Best for minimal bundle size:

  • Vanilla JavaScript (framework agnostic)
  • ~5KB gzipped
  • Modern API design
  • No dependencies
bash
npm install driver.js
Alternative: intro.js (Classic, Proven)

Best for traditional tours:

  • Battle-tested library
  • Wide browser support
  • JSON-based tour configuration
  • Extensive plugin ecosystem
bash
npm install intro.js

Reference references/library-comparison.md for detailed analysis and selection criteria.

Design Token Integration

All onboarding components use the design-tokens skill for consistent theming:

Token categories used:

  • Colors: Tour spotlight, overlay, tooltip backgrounds, hotspot colors
  • Spacing: Tour padding, tooltip spacing, arrow size
  • Typography: Title sizes, body text, help content
  • Borders: Border radius for modals and tooltips
  • Shadows: Elevation for tour spotlights and tooltips
  • Motion: Transition durations, pulse animations

Supports light, dark, high-contrast, and custom brand themes. Reference the design-tokens skill for complete theming documentation.

Measuring Success

Key Metrics

Track these indicators:

  • Tour completion rate (target: >60%)
  • Time to first value (faster = better)
  • Feature adoption rate post-tour
  • Support ticket reduction
  • User activation rate (completed key actions)
  • Drop-off points in tours
Optimization Strategies

Iterate based on data:

  • A/B test tour length (shorter often better)
  • Test different messaging and copy
  • Measure drop-off at each step
  • Simplify steps with high abandonment
  • Add skip options for returning users
  • Personalize based on user type

To analyze onboarding metrics:

bash
python scripts/analyze_onboarding_metrics.py

Reference references/measuring-success.md for complete analytics implementation.

Anti-Patterns to Avoid

Common mistakes that harm user experience:

❌ Forced Tours: Requiring tour completion before product use ❌ Too Long: Tours exceeding 7 steps lose user attention ❌ Every Session: Showing same tour repeatedly ❌ No Skip Option: Preventing users from exploring independently ❌ Wall of Text: Using lengthy explanations instead of visuals ❌ Blocking Everything: Preventing interaction during tours ❌ Premature Guidance: Showing help before users explore ❌ Poor Timing: Interrupting focused work ❌ No Context: Generic tips without specific relevance

Implementation Workflow

Step 1: Map User Journey

Identify key moments:

  1. First login and account creation
  2. Core value delivery (aha moment)
  3. Feature discovery points
  4. Potential confusion or abandonment
  5. Achievement and progress milestones
Step 2: Choose Guidance Mechanisms

Match mechanisms to moments:

  • First login → Product tour (3-5 steps max)
  • Core features → Interactive tutorial
  • Setup requirements → Checklist
  • New features → Spotlight + tooltip
  • Ongoing help → Help panel
Step 3: Implement with Progressive Enhancement

Build incrementally:

  1. Start with essential guidance only
  2. Add contextual help based on user behavior
  3. Implement analytics to measure effectiveness
  4. Iterate based on data
  5. A/B test variations
Step 4: Test Accessibility

Verify compliance:

  • Keyboard navigation works completely
  • Screen reader announces properly
  • Reduced motion preference honored
  • Focus management correct
  • ARIA labels descriptive

Run validation:

bash
node scripts/validate_accessibility.js
Step 5: Monitor and Optimize

Track and improve:

  • Monitor completion rates
  • Identify drop-off points
  • Gather user feedback
  • A/B test improvements
  • Update based on findings

Working Examples

Start with the example matching the use case:

first-time-tour.tsx # Product walkthrough with react-joyride
feature-spotlight.tsx # New feature announcement
guided-tutorial.tsx # Interactive task completion
setup-checklist.tsx # Multi-step onboarding progress
contextual-help.tsx # Tooltips and progressive hints
help-panel.tsx # Sidebar help with search
celebration-animation.tsx # Completion feedback

Resources

Scripts (Token-Free Execution)
  • scripts/generate_tour_config.js - Generate tour configurations from user flows
  • scripts/analyze_onboarding_metrics.py - Analyze completion and drop-off rates
  • scripts/validate_accessibility.js - Test keyboard and screen reader support
References (Detailed Documentation)
  • references/product-tours.md - Tour patterns, step design, navigation
  • references/interactive-tutorials.md - Guided tasks and sandbox modes
  • references/tooltips-hints.md - Contextual help and progressive hints
  • references/checklists.md - Progress tracking and gamification
  • references/help-systems.md - Help panels, videos, and documentation
  • references/progressive-disclosure.md - Advanced patterns and feature unlocking
  • references/timing-strategies.md - When and how to trigger guidance
  • references/accessibility-patterns.md - WCAG compliance and ARIA patterns
  • references/measuring-success.md - Analytics and optimization
  • references/library-comparison.md - Detailed library evaluation
  • references/selection-framework.md - Decision trees for choosing mechanisms
Examples (Implementation Code)
  • Complete working implementations for all guidance types
  • Integration examples with common frameworks
  • Accessibility-compliant patterns
  • Design token integration examples

This is the start of the file. Read the full SKILL.md on GitHub.

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Source

Popularity

Repository stars
351
Repository forks
54
7-day trend score
29

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 5 May 2026, 5 months ago.

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