Motion design pass — adds purposeful animations or removes excessive ones, respecting MOTION_INTENSITY and the project's animation stack. Use when the user asks to add animation, "make it feel smoother", fix janky transitions, or trim motion that's distracting. Invoke when the user asks for animate on their UI, or mentions 'animate' alongside design / UI / frontend work.
npx skills add https://github.com/educlopez/ui-craft --skill animate
<!-- HARNESS MIRROR — do not edit here. Canonical source: skills/ or commands/. After editing source, copy into cli/assets/<harness>/ and repo-root harness mirrors. -->
Context: this sub-skill is one lens of the broader ui-craft skill. If the ui-craft skill is also installed, read its SKILL.md first for Discovery + Anti-Slop + Craft Test, then apply the specific lens below.
Add or fix animations in $ARGUMENTS. Load the ui-craft skill.
Step 1 — Decision Ladder: run the Decision Ladder from references/motion.md first. Anything that fails it gets removed, not improved.
Step 2 — Pick the library:
references/stack.md. Use the matching section (Motion, GSAP, or Three.js). Never mix libraries on the same property.@keyframes / animation-timeline: view() only.Step 3 — Apply motion budget:
| Element | Budget |
|---|---|
| Color/opacity | 100-150ms |
| Small UI (tooltips, dropdowns) | 150-200ms |
| Medium UI (modals, panels) | 200-300ms |
| Large UI (page transitions, drawers) | 300-400ms |
Exit ≈ 75% of entrance duration (shorter, same ease-out — or a flatter tail like cubic-bezier(0.4, 0, 1, 1) for a softer exit). Never ease-in on UI (see references/motion.md). cubic-bezier(0.22, 1, 0.36, 1) is a safe spring-like default.
Step 4 — Multi-stage sequences → read ../examples/animation-storyboard.md. Stagger 30-80ms, not 200ms.
Step 5 — Respect the knobs:
MOTION_INTENSITY ≤ 3 → hover states only, no entrances, no scroll-triggered.MOTION_INTENSITY 4-7 → standard entrances + hover, one scroll reveal max per section.MOTION_INTENSITY 8+ → scroll-linked, page transitions, magnetic cursor OK (still honor reduced-motion).Output: edit code directly. After each file, print the Review Format table. Flag any animation you removed and why.
Next step: /polish — the compound details around the motion you just added (rung 1).
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take educlopez/animate from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.