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dylantarre AI Skills

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Browse published AI skills maintained by dylantarre. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

173

Repository stars across indexed skills

1,990

Repository forks

490

Average repository stars per indexed skill

12

Repository stars may repeat across skills from the same repository.

173 skills

Browse skills

GitHub

modals-dialogs

dylantarre

Use when animating modals, dialogs, popovers, or overlay content to create smooth entrances and exits

GitHub

cards-containers

dylantarre

Use when animating cards, panels, tiles, or container elements to create depth and interactivity

GitHub

urgency-action

dylantarre

Use when creating animations that prompt immediate user action, highlight time-sensitivity, or drive conversions.

GitHub

instant-0-100ms

dylantarre

Use when building instantaneous UI feedback under 100ms - button presses, toggles, state changes that feel immediate and responsive

GitHub

medium-300-500ms

dylantarre

Use when building standard animations between 300-500ms - page transitions, significant UI changes, animated illustrations that need clear communication

GitHub

saas-productivity

dylantarre

Use when designing animations for business tools, project management, collaboration software, or productivity apps

GitHub

scroll-animations

dylantarre

Use when triggering animations on scroll - reveal effects, parallax, sticky headers, progress indicators, or any scroll-linked motion.

GitHub

animation-principles-master

dylantarre

Use when someone seeks the philosophical foundation of animation principles, wants to understand why they work, or is at a teaching/mentorship level

GitHub

universal-mindset

dylantarre

Use when approaching any animation task—establishing foundational thinking patterns, teaching animation principles, or when none of the specialized thinking styles quite fit the situation.

GitHub

naturalistic-motion

dylantarre

Use when animation should feel organic and lifelike—creature animation, realistic characters, nature elements, or any motion that needs to breathe with authentic living quality.

GitHub

popmotion

dylantarre

Use when implementing Disney's 12 animation principles with Popmotion's functional animation library

GitHub

travel-hospitality

dylantarre

Use when designing animations for travel booking, hospitality apps, tourism platforms, or vacation planning experiences

GitHub

excitement-energy

dylantarre

Use when creating animations that generate enthusiasm, build anticipation, or create high-energy experiences.

GitHub

emotional-narrative

dylantarre

Use when animation needs to convey feeling, tell a story, or connect emotionally—character moments, dramatic beats, or any motion that should make the audience care.

GitHub

hover-interactions

dylantarre

Use when creating mouse hover effects - button highlights, card lifts, link underlines, image zooms, or any pointer-triggered animation.

GitHub

large-500-800ms

dylantarre

Use when building larger movement animations between 500-800ms - hero transitions, complex reveals, animations that tell a story and deserve attention

GitHub

entrance-animations

dylantarre

Use when elements need to appear on screen - page loads, modals opening, items being added, content reveals, or any "coming into view" animation.

GitHub

arc-mastery

dylantarre

Use when designing motion paths, character movement trajectories, gesture animations, or any motion that should feel natural rather than robotic.

GitHub

state-changes

dylantarre

Use when elements transform in place - toggle switches, expanding accordions, checkbox animations, button states, or any transformation without entering/exiting.

GitHub

brand-consistency

dylantarre

Use when animation doesn't match brand personality, feels generic, or clashes with design language

GitHub

slow-in-out-mastery

dylantarre

Use when designing easing curves, controlling motion pacing, creating natural acceleration/deceleration, or making movements feel physically grounded.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.