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Development AI Skills

Discover Development skills, compare source repositories and read the instructions for each workflow.

Categories: Development

Showing 25,129–25,152 of 81,978

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GitHub

3d-spatial

dylantarre

Use when working in Blender, Unity 3D, Unreal Engine, Cinema 4D, VR/AR applications, or any three-dimensional animation work.

GitHub

joy-delight

dylantarre

Use when creating animations that evoke happiness, surprise, or delightful moments in the user experience.

GitHub

solid-drawing-mastery

dylantarre

Use when creating motion that needs dimensional grounding, designing transforms that maintain object integrity, or ensuring animations feel structurally sound.

GitHub

universal-practitioner

dylantarre

Use when applying animation principles in any context, for any role, or when a general understanding of Disney's 12 principles is needed.

GitHub

problem-diagnosis

dylantarre

Use when animation "feels wrong" but you can't pinpoint why—debugging floaty movement, stiff characters, unclear action, or any motion that isn't working and needs systematic troubleshooting.

GitHub

accessibility-advocate

dylantarre

Use when designing inclusive animations, addressing vestibular disorders and motion sensitivity, or ensuring animation accessibility compliance.

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

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.

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