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panel-dashboards

Automate interactive Panel dashboard development with Param-based components.

3|1|Updated Dec 21, 2025
Search Tags:#dashboard#real-time#visualization#web-app#panel#param
One-click install
npx skills add https://github.com/cdcore09/holoviz-claude --skill panel-dashboards
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: panel-dashboards
Source: https://github.com/cdcore09/holoviz-claude/tree/main/plugins/holoviz-expert/skills/panel-dashboards
Command: npx skills add https://github.com/cdcore09/holoviz-claude --skill panel-dashboards

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables rapid creation of interactive Panel dashboards and UI-driven web apps using Panel and Param, reducing boilerplate and accelerating analytics workflows.

Core Features & Use Cases

  • Component-based dashboards with responsive layouts and widgets
  • Real-time data streaming integration and file-upload capable interfaces
  • Multi-page, templated dashboards suitable for enterprise analytics and internal tools
  • Use Case: Build an internal analytics dashboard that monitors KPIs, supports file uploads, and adapts to different themes.

Quick Start

Use the Panel Dashboards Skill to scaffold a minimal dashboard by defining a Panel Param class, a layout, and serving it locally.

Frequently Asked Questions about panel-dashboards

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

FAQPage Schema
How do I build an interactive Python dashboard without writing extensive boilerplate?▼

You can build an interactive Python dashboard by defining a Panel Param class and a layout, which this Skill uses to scaffold component-based UIs and serve them locally while reducing boilerplate.

Can I create real-time data streaming dashboards using Panel and Param?▼

Yes, real-time data streaming dashboards are supported. This Skill scaffolds reactive web apps using Panel and Param, integrating live data updates and responsive widgets into your analytics workflow.

Does this approach support multi-page layouts and file uploads for enterprise analytics?▼

Multi-page layouts and file-upload capable interfaces are supported. This Skill generates templated dashboards suitable for enterprise analytics, allowing users to monitor KPIs and process uploaded files.

Do I need specific versions of Panel and Param to scaffold a web app?▼

Yes, you need Panel version 1.3.0 or higher and Param version 2.0.0 or higher, along with common dependencies like bokeh and tornado to render and serve the reactive dashboards.

What is the best way to build component-based UIs for internal analytics tools in Python?▼

The best way to build component-based UIs is using Panel to define reactive widgets and layouts. This Skill automates the development of internal analytics tools, adapting to different themes and reducing boilerplate.

How do I serve a locally generated Panel dashboard for web visualization?▼

To serve a locally generated Panel dashboard, this Skill relies on common dependencies like bokeh and tornado, which render and serve the reactive web app directly from your Python workflow.

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