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Found 134 Skills
Plotly Chart Generator - Auto-activating skill for Visual Content. Triggers on: plotly chart generator, plotly chart generator Part of the Visual Content skill category.
Use this skill when designing presentations, slide decks, or pitch materials. Triggers on "create a presentation", "design slides", "build a deck", "structure my talk", "make a pitch deck", "data visualization for slides", or any request involving slide layout, storytelling frameworks (Pyramid Principle, Hero's Journey, Problem-Solution-Benefit), narrative arc, speaker notes, or chart selection for presentations. Covers slide structure, visual hierarchy, data-driven storytelling, and deck architecture from executive summaries to conference keynotes.
Comprehensive guide for AntV L7 geospatial visualization library. Use when users need to: (1) Create interactive maps with WebGL rendering (2) Visualize geographic data (points, lines, polygons, heatmaps) (3) Build location-based data dashboards (4) Add map layers, interactions, or animations (5) Process and display GeoJSON, CSV, or other spatial data (6) Integrate maps with AMap (GaodeMap), Mapbox, Maplibre, or standalone L7 Map (7) Optimize performance for large-scale geographic datasets
Research tool for visually exploring BLS Occupational Outlook Handbook data with an interactive treemap, LLM-powered scoring pipeline, and data scraping/parsing utilities.
Fetch, store, and visualize GitHub repository traffic data (views, clones, referrers, stars) with trend charts. Requires repo push access.
Assemble multi-panel scientific figures with panel labels (A, B, C) at publication quality (300 DPI) using R. Use when combining individual plots into journal-ready figures.
Visualize relationships between two variables. Use for correlation analysis and pattern identification.
Visualize competitive positioning using sector charts. Use for market analysis and competitive strategy.
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that don't fit in memory.
Common style patterns, layer configurations, and recipes for typical mapping scenarios including restaurant finders, real estate, data visualization, navigation, and more. Use when implementing specific map use cases or looking for proven style patterns.
Create interactive maps with markers, heatmaps, routes, and choropleth layers. Use when visualizing geographic data, plotting locations, or creating map-based reports.
Generate interactive graph visualizations in the browser from any data - codebases, infrastructure, relationships, knowledge maps