snap-vis-ui

Build a Streamlit dashboard for snap-vis with layout and widget configuration.

1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/hfoote/snap-vis --skill snap-vis-ui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: snap-vis-ui
Source: https://github.com/hfoote/snap-vis/tree/main/.gemini/skills/snap-vis-ui
Command: npx skills add https://github.com/hfoote/snap-vis --skill snap-vis-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Solves UI design and interaction challenges for the snap-vis Streamlit dashboard by providing a clean layout and responsive controls.

Core Features & Use Cases

  • Layout with columns, tabs, and sidebars for intuitive navigation.
  • Interactive widgets for snapshot selection, parameter sliders, and toggles for particle types.
  • Integration with snap-vis-loader and snap-vis-renderer for cohesive data visualization.
  • Use Case: Imagine a researcher quickly adjusting zoom and particle-type visibility while switching snapshots to compare configurations.

Quick Start

Run the Streamlit app to launch the interactive snap-vis UI and begin configuring the dashboard.

Frequently Asked Questions about snap-vis-ui

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

FAQPage Schema
How do I build an interactive Streamlit dashboard for data visualization?

To build an interactive Streamlit dashboard, this Skill provides UI layout management with columns, tabs, and sidebars, alongside widget bindings for parameter sliders and toggles to enable live data visualization workflows.

Can I add interactive widgets for snapshot selection and parameter control in Streamlit?

Yes, you can add interactive widgets for snapshot selection, parameter sliders, and particle-type toggles in Streamlit using this Skill's configured UI controls to adjust and compare data configurations.

Does snap-vis-ui require snap-vis-loader and snap-vis-renderer to function?

Yes, snap-vis-ui integrates directly with snap-vis-loader and snap-vis-renderer to ensure a robust Streamlit experience by handling data loading and rendering alongside the UI layout.

What is the best way to organize Streamlit dashboard layouts for intuitive navigation?

The best way to organize Streamlit dashboard layouts is by using columns, tabs, and sidebars for intuitive navigation, which this Skill applies to create a clean and responsive interface design.

How do I handle errors during live data visualization in a Streamlit app?

To handle errors during live data visualization in a Streamlit app, this Skill implements error handling within its UI layout management and widget bindings to maintain a robust experience.

Why does my Streamlit dashboard layout need tuning for responsive controls?

Streamlit dashboard layouts need tuning for responsive controls to solve UI design and interaction challenges, ensuring clean layouts that allow researchers to easily adjust zoom and visibility while switching snapshots.