micro-interactions

dylantarre/animation-principles · updated Apr 21, 2026

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$npx skills add https://github.com/dylantarre/animation-principles --skill micro-interactions
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summary

Apply Disney's 12 animation principles to small UI feedback moments and interface details.

skill.md

Micro-interaction Animation

Apply Disney's 12 animation principles to small UI feedback moments and interface details.

Quick Reference

Principle Micro-interaction Implementation
Squash & Stretch Button press compression, toggle bounce
Anticipation Hover state hints, pre-click feedback
Staging Focus attention on active element
Straight Ahead / Pose to Pose Progress vs state changes
Follow Through / Overlapping Ripple effects, settling motion
Slow In / Slow Out Snappy but smooth transitions
Arc Toggle switches, circular menus
Secondary Action Icons respond to parent state
Timing 100-300ms for most interactions
Exaggeration Clear but not distracting
Solid Drawing Consistent transform behavior
Appeal Delightful, purposeful feedback

Principle Applications

Squash & Stretch: Buttons compress slightly on press (scaleY: 0.95). Toggle thumbs squash when hitting bounds. Notification badges bounce on update. Keep subtle—this is UI, not cartoon.

Anticipation: Hover states prepare for click. Buttons lift/grow slightly before press animation. Draggable items elevate on grab start. Loading spinners wind up before spinning.

Staging: Active form field clearly distinguished. Error states demand attention. Success confirmations are unmistakable. One interaction feedback at a time.

Straight Ahead vs Pose to Pose: Progress indicators animate continuously (straight ahead). Checkboxes snap between states (pose to pose). Combine: loading indicator ends with state-change snap.

Follow Through & Overlapping: Ripple effects expand past tap point. Toggle switches overshoot then settle. Checkmarks draw with slight delay after box fills. Menu items stagger in.

Slow In / Slow Out: Quick ease-out for responsive feel. 100ms with ease-out feels instant. Avoid linear—looks broken. Snappy entrance, gentle settling.

Arc: Toggle switches travel in slight arc. Circular action buttons expand radially. Dropdown carets rotate smoothly. Menu items can follow curved path.

Secondary Action: Icon changes color as button state changes. Badge count updates with parent notification. Helper text appears as input focuses. Shadow responds to elevation.

Timing: Immediate feedback: 50-100ms. Standard transitions: 100-200ms. Complex micro-interactions: 200-300ms. Anything longer feels sluggish for small UI.

Exaggeration: Enough to notice, not enough to distract. Error shakes: 3-5px, not 20px. Success scales: 1.05-1.1, not 1.5. Subtle but unmistakable.

Solid Drawing: Transform origin matters—buttons scale from center, tooltips from pointer. Consistent behavior across similar elements. Maintain visual integrity during animation.

Appeal: Micro-interactions add personality without overwhelming. Users should feel the interface is responsive and alive. Small delights build into overall experience quality.

Component Patterns

Button States

.button {
    transition: transform 100ms ease-out,
                box-shadow 100ms ease-out;
}
.button:hover {
    transform: translateY(-1px);
    box-shadow: 0 2px 8px rgba(0,0,0,0.15);
}
.button:active {
    transform: translateY(0) scale(0.98);
    box-shadow: 0 1px 2px rgba(0,0,0,0.1);
}

Toggle Switch

.toggle-thumb {
    transition: transform 200ms cubic-bezier(0.34, 1.56, 0.64, 1);
}
.toggle-thumb.active {
    transform: translateX(20px);
}

Checkbox

.checkmark {
    stroke-dasharray: 20;
    stroke-dashoffset: 20;
    transition: stroke-dashoffset 200ms ease-out 50ms;
}
.checkbox:checked + .checkmark {
    stroke-dashoffset: 0;
}

Timing Reference

Interaction Duration Easing
Hover 100ms ease-out
Click/tap 100ms ease-out
Toggle 150-200ms spring/elastic
Checkbox 150ms ease-out
Focus ring 100ms ease-out
Tooltip show 150ms ease-out
Tooltip hide 100ms ease-in
Badge update 200ms elastic
Form error 200ms ease-out

Best Practices

  1. Every interactive element needs feedback
  2. Disabled states: no animation, reduced opacity
  3. Group related feedback together
  4. Don't animate on every change—filter unnecessary updates
  5. Test without animation—functionality shouldn't depend on it
  6. Respect prefers-reduced-motion
how to use micro-interactions

How to use micro-interactions on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add micro-interactions
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/dylantarre/animation-principles --skill micro-interactions

The skills CLI fetches micro-interactions from GitHub repository dylantarre/animation-principles and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/micro-interactions

Reload or restart Cursor to activate micro-interactions. Access the skill through slash commands (e.g., /micro-interactions) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.440 reviews
  • Ishan Jain· Dec 12, 2024

    Solid pick for teams standardizing on skills: micro-interactions is focused, and the summary matches what you get after install.

  • Isabella Diallo· Dec 4, 2024

    We added micro-interactions from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kiara Brown· Nov 23, 2024

    Solid pick for teams standardizing on skills: micro-interactions is focused, and the summary matches what you get after install.

  • Rahul Santra· Nov 3, 2024

    micro-interactions is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Emma Anderson· Nov 3, 2024

    We added micro-interactions from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Pratham Ware· Oct 22, 2024

    Keeps context tight: micro-interactions is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Emma Reddy· Oct 22, 2024

    micro-interactions fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Kiara Chen· Oct 14, 2024

    micro-interactions has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Soo Perez· Sep 13, 2024

    Registry listing for micro-interactions matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yash Thakker· Sep 9, 2024

    micro-interactions has been reliable in day-to-day use. Documentation quality is above average for community skills.

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