claudecodex

holoviz-visualization

Expert agents and comprehensive skills for interactive data visualization using the HoloViz ecosystem including Panel, hvPlot, HoloViews, Datashader, GeoViews, Colorcet, and Lumen.

32 on GitHubby SSEC Engineering Teamv0.1.0BSD-3-Clauseupdated 13 days agodata-science
/

Plugin holoviz-visualization from marketplace rse-plugins in uw-ssec/rse-plugins. Commands read from the repo's manifest — 12 days ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (9)

  • advanced-rendering

    Master high-performance rendering for large datasets with Datashader. Use this skill when working with datasets exceeding 100M+ points, optimizing visualization performance, or implementing efficient rendering strategies with rasterization and colormapping techniques.

  • colormaps-styling

    Master color management and visual styling with Colorcet. Use this skill when selecting appropriate colormaps, creating accessible and colorblind-friendly visualizations, applying consistent themes, or customizing plot aesthetics with perceptually uniform color palettes.

  • data-visualization

    Master advanced declarative visualization with HoloViews. Use this skill when creating complex multi-dimensional visualizations, composing overlays and layouts, implementing interactive streams and selection, building network or hierarchical visualizations, or exploring data with dynamic maps and fa

  • geospatial-visualization

    Master geographic and mapping visualizations with GeoViews. Use this skill when creating interactive maps, visualizing point/polygon/line geographic data, building choropleth maps, performing spatial analysis (joins, buffers, proximity), working with coordinate reference systems, or integrating tile

  • lumen-ai

    Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents for domain-specific analytics, implementing RAG with document context, or deploying self-

  • lumen-dashboards

    Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating interactive filters and cross-filtering, designing responsive layouts with indicators and

  • panel-dashboards

    Master interactive dashboard and application development with Panel and Param. Use this skill when building custom web applications with Python, creating reactive component-based UIs, handling file uploads and real-time data streaming, implementing multi-page applications, or developing enterprise d

  • parameterization

    Master declarative parameter systems with Param for type-safe configuration. Use this skill when building parameterized classes with automatic validation, creating reactive dependencies with @param.depends, implementing watchers for side effects, auto-generating UIs from parameters, or organizing ap

  • plotting-fundamentals

    Master quick plotting and interactive visualization with hvPlot. Use this skill when creating basic plots (line, scatter, bar, histogram, box), visualizing pandas DataFrames with minimal code, adding interactivity and hover tools, composing multiple plots in layouts, or generating publication-qualit

Slash commands (9)

  • /holoviz-visualization:advanced-rendering

    Render massive datasets (100M+ points) efficiently with Datashader rasterization and aggregation

  • /holoviz-visualization:colormaps-styling

    Select and apply perceptually uniform colormaps and accessible visual styling with Colorcet

  • /holoviz-visualization:data-visualization

    Create advanced declarative visualizations with HoloViews for multi-dimensional data, interactive streams, and complex compositions

  • /holoviz-visualization:geospatial-visualization

    Create interactive maps and geographic visualizations with GeoViews, GeoPandas, and tile providers

  • /holoviz-visualization:lumen-ai

    Build AI-powered natural language data exploration interfaces with Lumen AI

  • /holoviz-visualization:lumen-dashboards

    Build declarative no-code data dashboards with Lumen YAML specifications

  • /holoviz-visualization:panel-dashboards

    Build interactive dashboards and web applications with Panel and Param

  • /holoviz-visualization:parameterization

    Build type-safe parameterized classes with Param for reactive dependencies, validation, and auto-generated UIs

  • /holoviz-visualization:plotting-fundamentals

    Create quick interactive plots with hvPlot from pandas DataFrames, NumPy arrays, or Xarray datasets

Subagents (4)

  • data-engineer

    Specialist in large-scale data rendering and performance optimization with Datashader and advanced techniques. Expert in handling massive datasets (100M+ points), memory optimization, and aggregation strategies.

  • geo-spatial-expert

    Expert in geographic and mapping visualizations with GeoViews and spatial data handling. Specializes in creating interactive maps, spatial analysis, coordinate reference systems, and multi-layer geographic compositions.

  • panel-specialist

    Expert in building interactive dashboards, web applications, and component systems with Panel and Param. Specializes in reactive programming patterns, real-time data streaming, and responsive UI design.

  • visualization-designer

    Strategic guide for multi-library visualization design using HoloViz ecosystem tools. Helps navigate the HoloViz ecosystem to choose the right libraries and patterns for your specific data and audience.

MCP servers (1)

  • holoviz-mcp

    runs: docker run -i --rm -v ${HOME}/.holoviz-mcp:/root/.holoviz-mcp ghcr.io/marcskovmadsen/holoviz-mcp:latest

View source on GitHub

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