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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

media-publishing

dylantarre

Use when designing animations for news sites, content platforms, publishing apps, or media consumption experiences

GitHub

motion-one

dylantarre

Use when implementing Disney's 12 animation principles with Motion One (modern, lightweight animation library)

GitHub

attention-grabbers

dylantarre

Use when drawing user focus - notification badges, new feature highlights, error callouts, promotional banners, or any animation meant to attract attention.

GitHub

enterprise-b2b

dylantarre

Use when designing animations for enterprise software, B2B platforms, admin dashboards, or corporate applications

GitHub

e-commerce-retail

dylantarre

Use when designing animations for shopping apps, product catalogs, checkout flows, or retail experiences

GitHub

secondary-action-mastery

dylantarre

Use when enriching primary animations, adding supporting details, creating depth in motion, or making scenes feel alive without distracting from main action.

GitHub

animation-principles-expert

dylantarre

Use when someone has mastery of animation principles and wants to explore intentional rule-breaking, stylistic innovation, and pushing creative boundaries

GitHub

icons-badges

dylantarre

Use when animating icons, badges, avatars, status indicators, or small visual elements to add personality and feedback

GitHub

feedback-indicators

dylantarre

Use when confirming user actions - success checkmarks, error alerts, form validation, save confirmations, or any animation acknowledging what the user did.

GitHub

slow-800-1200ms

dylantarre

Use when building deliberate motion between 800-1200ms - dramatic reveals, loading sequences, storytelling moments where users should pause and absorb

GitHub

timing-mastery

dylantarre

Use when determining how fast or slow motion should be—pacing action sequences, dramatic pauses, comedic beats, or any situation where the duration of movement matters.

GitHub

attention-direction

dylantarre

Use when controlling where the audience looks—composing shots, choreographing action, revealing information, or any situation requiring clear visual hierarchy and focus management.

GitHub

anticipation-mastery

dylantarre

Use when designing action sequences, user interactions, state transitions, or any motion that needs telegraphing to feel intentional rather than sudden.

GitHub

data-visualization

dylantarre

Use when animating charts, graphs, dashboards, data transitions, or any information visualization work.

GitHub

micro-100-200ms

dylantarre

Use when building micro-interactions between 100-200ms - tooltips appearing, dropdown opens, small feedback animations that feel quick but perceptible

GitHub

page-transitions

dylantarre

Use when implementing route changes, view transitions, modal opens/closes, or navigation animation in web and mobile applications.

GitHub

educator-teacher

dylantarre

Use when creating educational content, explaining concepts through animation, or when teaching animation principles to students.

GitHub

universal-patterns

dylantarre

Use when creating any animation type - provides foundational timing, easing, and principle application that applies to all motion in interfaces.

GitHub

small-200-300ms

dylantarre

Use when building small transitions between 200-300ms - modal appearances, card expansions, navigation transitions that users consciously perceive

GitHub

creative-director

dylantarre

Use when overseeing animation vision, setting creative direction for motion, or guiding teams on animation quality and consistency.

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.