Plugins
4 pluginscurated
Publish Mobile-First Page
Scaffold and publish a mobile-first page with responsive layout and design tokens.
4 skills · plugin
@dotnet
Dotnet Maui
Skills for .NET MAUI development: environment setup, diagnostics, troubleshooting, navigation, data binding, dependency injection, layout, and theming.
8 skills · plugin
curated
GSAP Landing Page
Build and deploy a high-impact landing page using GSAP animations, bento layout, and persuasive copy.
3 skills · plugin
@owl-listener
UI Design
UI design skills: color palettes, typography systems, layout grids, responsive breakpoints, dark mode specs, visual hierarchy, and brand alignment.
14 skills · plugin
Results for “layout”
7 skills
k-dense-ai scientific-visualization
Create publication-ready scientific figures with multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and journal-specific formatting using matplotlib, seaborn, and plotly.
30.2k · bundle
stieges bpmn-generator
Generates OMG-compliant BPMN 2.0 XML and SVG diagrams from natural language process descriptions, with validation, automatic layout, and optional process optimization advisories.
32 · bundle
k-dense-ai liteparse
Parse PDFs, Office files, and images locally with layout-preserved text, bounding boxes, OCR, and page screenshots for RAG and multimodal agents.
30.2k · bundle
More results
github power-bi-report-design-consultation
Guides the design of effective, user-friendly, and accessible Power BI reports with optimal chart selection and layout design.
36.2k
moonklabs kb-structure
Structures company knowledge bases for business plan automation, defining a 7-category schema, completeness scoring, and storage layouts for Notion or local Markdown.
0
nvidia mcore-testing
Guides testing Megatron-LM: test layout, recipe YAML, adding and running unit/functional tests, golden values, marker filters, and CI parity.
2.2k · bundle
schattenspiegel numpy-python
Use for writing, reviewing, debugging, testing, or optimizing Python NumPy ndarray code. Trigger on array construction, shape/axis reasoning, dtypes and casting, broadcasting, indexing, copies/views, ufuncs, reductions, vectorization, random Generator, linear algebra, FFT, masked/structured arrays, memory layout, or NumPy interoperability. Do not use for pandas/Polars table semantics, JAX/CuPy-only arrays, symbolic SymPy, or pure Python sequences without a NumPy boundary.
0 · bundle