Advanced JavaScript animation library skill for creating complex, high-performance web animations.
npx skills add https://github.com/lingxling/awesome-skills-cn --skill animejs-animation
Anime.js is a lightweight but extremely powerful JavaScript animation engine. It excels at complex timelines, staggering, and precise control over DOM, CSS, and SVGs.
This skill is used for creating high-fidelity, jaw-dropping web animations that go far beyond simple CSS transitions. It's the tool of choice for awards-caliber interactive sites.
Trigger this skill when:
cubicBezier, spring, or elastic) instead of basic linear or ease-in-out to make the motion feel expensive and natural.anime.timeline() to sequence complex choreography. Master the use of timeline offsets (relative '-=200' vs absolute) to create seamless overlapping motion. const tl = anime.timeline({
easing: "spring(1, 80, 10, 0)",
duration: 1000,
});
tl.add({
targets: ".hero-text",
translateY: [50, 0],
opacity: [0, 1],
delay: anime.stagger(100),
}).add(
{ targets: ".hero-image", scale: [0.9, 1], opacity: [0, 1] },
"-=800",
);
anime.stagger() extensively to add organic rhythm to multiple elements.will-change: transform, opacity where appropriate for GPU acceleration.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 lingxling/animejs-animation 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.