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Found 860 Skills
Production-ready Tailwind CSS patterns for common website components: responsive layouts, cards, navigation, forms, buttons, and typography. Includes spacing scale, breakpoints, mobile-first patterns, and dark mode support. Use when building UI components, creating landing pages, styling forms, implementing navigation, or fixing responsive layouts.
Elite frontend image-direction skill for generating premium, artistic, implementation-friendly website design references. Uses combinatorial variation to avoid repetitive AI aesthetics, enforces cinematic hero minimalism, strong hierarchy, generous spacing, image-led composition, and anti-slop visual discipline. Optimized for hero sections, landing pages, and multi-section site comps that developers or coding models can accurately recreate.
Elite frontend image-direction skill for generating premium, artistic, implementation-friendly website design references. Uses combinatorial variation to avoid repetitive AI aesthetics, enforces cinematic hero minimalism, strong hierarchy, generous spacing, image-led composition, and anti-slop visual discipline. For visual frontend tasks, this skill must first generate the design image(s) itself, deeply analyze them, then implement the frontend to match them as closely as possible.
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.
Design or restyle DatoCMS plugins so they look and feel native to the DatoCMS UI. Use when users ask to make a plugin match the DatoCMS dashboard, polish plugin config screens, pages, sidebars, panels, modals, forms, tables, empty states, or overall plugin layout structure. This skill owns DatoCMS plugin design-system work, native-look restyling, and UI density or spacing cleanup. Prefer `datocms-react-ui` when a public component exists, and otherwise use raw React and CSS that reproduce DatoCMS spacing, typography, density, color, and interaction patterns without importing private CMS classes.
Authoring MSW scripts (.mlua) plus integrated playtest and debugging. Covers mlua syntax, annotations (@Component/@Logic/@ExecSpace/@Sync), lifecycle, exec spaces, property sync, event system, file workflow, build-log inspection, error classification, and the test/debug loop. Keywords: script, mlua, lua, Component, Logic, annotation, ExecSpace, Sync, event, play, test, debug, lifecycle.
Implements Syncfusion Flutter Spark Charts (SfSparkLineChart, SfSparkAreaChart, SfSparkBarChart, SfSparkWinLossChart) for compact, lightweight data visualization. Use when working with micro charts, sparklines, KPI indicators, or inline trend charts in Flutter dashboards. This skill covers chart configuration, data binding, markers, tooltips, and trackball for all four spark chart types.
Implements Syncfusion Flutter Maps (SfMaps) for interactive geographical data visualization in Flutter apps. Use when working with shape layers, tile layers, choropleth maps, or map markers and overlays. This skill covers GeoJSON rendering, OpenStreetMap/Bing Maps integration, bubbles, legends, tooltips, zoom and pan, and spatial data visualization.
Use when the animation domain is unclear or spans multiple contexts—provides general-purpose Disney animation principle guidance.
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
Create Obsidian Canvas files from text content, supporting both MindMap and freeform layouts. Use this skill when users want to visualize content as an interactive canvas, create mind maps, or organize information spatially in Obsidian format.
Establish or formalize your design system foundation. Create design tokens (color, typography, spacing, shadows, borders), define component architecture, document design principles, and build the structure that enables consistency and scalability. Works with Tailwind CSS and framework-agnostic approaches.