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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

rhythm-pacing

dylantarre

Use when animation needs musical flow—dance sequences, action choreography, comedic timing, scene pacing, or any motion that should feel rhythmic and well-composed over time.

GitHub

ux-researcher

dylantarre

Use when evaluating animation usability, conducting motion studies, or when researching how animation affects user perception and task completion.

GitHub

animator-traditional

dylantarre

Use when creating hand-drawn or classical animation, working with frame-by-frame techniques, or applying Disney principles in their original artistic context.

GitHub

universal-timing

dylantarre

Use when learning animation timing fundamentals - principles that apply regardless of duration, the foundational rules that scale across all time ranges

GitHub

accessible-motion

dylantarre

Use when implementing reduced motion alternatives, vestibular-safe animations, WCAG compliance, or designing for users with motion sensitivity.

GitHub

staging-mastery

dylantarre

Use when composing scenes, designing layouts, directing user attention, or ensuring a single clear idea is communicated at any given moment.

GitHub

social-media

dylantarre

Use when designing animations for social platforms, messaging apps, content sharing, or community features

GitHub

gesture-responses

dylantarre

Use when responding to touch or click interactions - button presses, drag feedback, swipe responses, tap ripples, or any direct manipulation animation.

GitHub

exit-animations

dylantarre

Use when elements need to leave the screen - closing modals, dismissing notifications, removing items, page transitions out, or any "leaving view" animation.

GitHub

responsive-adaptive

dylantarre

Use when building context-dependent animations - duration that changes based on device, distance, user preference, or interaction context

GitHub

gaming-entertainment

dylantarre

Use when designing animations for gaming apps, streaming platforms, entertainment portals, or interactive media

GitHub

notifications-toasts

dylantarre

Use when animating notifications, toasts, alerts, snackbars, or system messages to grab attention appropriately

GitHub

react-spring

dylantarre

Use when implementing Disney's 12 animation principles with React Spring's physics-based animations

GitHub

game-development

dylantarre

Use when implementing game animations, player feedback, character movement, or interactive entertainment in Unity, Unreal, or other game engines.

GitHub

fintech-banking

dylantarre

Use when designing animations for banking apps, payment systems, investment platforms, or financial dashboards

GitHub

brand-strategist

dylantarre

Use when defining brand motion identity, creating animation guidelines for brand expression, or aligning animation with brand personality.

GitHub

healthcare-medical

dylantarre

Use when designing animations for medical apps, patient portals, telehealth, or health tracking interfaces

GitHub

character-appeal

dylantarre

Use when creating or animating characters that need to connect with audiences—hero protagonists, memorable villains, lovable sidekicks, or any figure that must have personality and presence.

GitHub

product-manager

dylantarre

Use when prioritizing animation features, building motion roadmaps, or when a PM needs to understand the business value of animation principles.

GitHub

accordions-dropdowns

dylantarre

Use when animating accordions, collapsibles, dropdowns, or expand/collapse elements for smooth reveal transitions

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.