lumen-dashboards

Create interactive dashboards from multiple data sources using YAML specifications.

25|10|Updated Nov 6, 2025
One-click install
npx skills add https://github.com/uw-ssec/rse-plugins --skill lumen-dashboards-uw-ssec
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lumen-dashboards
Source: https://github.com/uw-ssec/rse-plugins/tree/main/community-plugins/holoviz-visualization/skills/lumen-dashboards
Command: npx skills add https://github.com/uw-ssec/rse-plugins --skill lumen-dashboards-uw-ssec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Lumen Dashboards provides a no-code way to build interactive data dashboards using YAML specifications, enabling data teams to rapidly create dashboards without writing Python code.

Core Features & Use Cases

  • No-code dashboards: Define everything in YAML
  • Data pipelines and views: Connect sources, transforms, and visualizations
  • Interactive exploration: Filters and cross-filtering to explore data

Quick Start

Create a simple YAML dashboard.yaml describing a data source, a pipeline, and a view to render an interactive chart.

Frequently Asked Questions about lumen-dashboards

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build interactive data dashboards without writing Python code?

You can build no-code interactive dashboards by defining data sources, pipelines, transforms, and views in a declarative YAML specification, eliminating the need to write Python code for rapid prototyping or exploratory analysis.

What data sources can I connect to using YAML dashboards?

YAML dashboards support connecting to multiple data sources, including local files, databases, REST APIs, and external data sources, allowing you to configure pipelines and transforms declaratively for data visualization.

How do I create a declarative dashboard for rapid prototyping?

To create a declarative dashboard for rapid prototyping, define a simple YAML file specifying your data source, a pipeline for transforms, and a view to render an interactive chart with filters for data exploration.

Do I need coding experience to use YAML for data visualization and exploration?

No coding experience is required to use YAML for data visualization, as the approach is fully no-code; you simply configure sources, pipelines, views, and layouts in YAML to render interactive dashboards.

Can I apply cross-filtering and interactive exploration to dashboards built with YAML?

Yes, YAML dashboards support interactive exploration features like filters and cross-filtering, enabling users to dynamically explore data across configured views and visualizations without writing additional code.

Is there a way to configure deployment settings for no-code dashboards?

Yes, no-code dashboards support configuring deployment settings directly within the YAML specification alongside global configuration options, allowing you to define everything from sources to deployment in one declarative file.