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dashboard-builder

Build interactive data dashboards and reports with Streamlit and Dash.

22|8|Updated Mar 14, 2026
Search Tags:#data visualization#dashboard#reporting#grafana#streamlit#power bi#dash
One-click install
npx skills add https://github.com/inbharatai/claude-skills --skill dashboard-builder-inbharatai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dashboard-builder
Source: https://github.com/inbharatai/claude-skills/tree/main/skills/dashboard-builder
Command: npx skills add https://github.com/inbharatai/claude-skills --skill dashboard-builder-inbharatai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, streamlit, plotly.

What problem does it solve?

This Skill simplifies the creation of interactive data dashboards and reports, enabling users to visualize data effectively across various platforms.

Core Features & Use Cases

  • Dashboard Creation: Generate dashboards using popular Python libraries like Streamlit and Dash.
  • Report Generation: Create reports compatible with tools like Grafana and Power BI.
  • Live Data Integration: Connect to live data sources for real-time visualization.
  • Use Case: A marketing analyst needs to present campaign performance data. This Skill can help build a Streamlit dashboard that pulls data from a database and displays key metrics like click-through rates and conversion numbers.

Quick Start

Help me build a basic Streamlit dashboard that displays a bar chart of sales data.

Frequently Asked Questions about dashboard-builder

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

FAQPage Schema
How do I build an interactive data dashboard using Python?▼

To build an interactive data dashboard using Python, you can use frameworks like Streamlit and Dash to generate visual reports. This process supports live data source connections for real-time analytics visualization.

Can I connect live data sources to a Streamlit dashboard for real-time analytics?▼

Yes, you can connect live data sources to a Streamlit dashboard for real-time analytics. The dashboard creation process supports live data integration, allowing you to visualize changing metrics like campaign performance continuously.

Does this approach work with reporting tools like Grafana and Power BI?▼

Yes, this approach works with reporting tools like Grafana and Power BI. It facilitates the creation of reports compatible with these platforms, alongside generating dashboards using Python libraries like Streamlit and Dash.

What is the best way to visualize marketing campaign performance data?▼

The best way to visualize marketing campaign performance data is by building a Streamlit dashboard. This dashboard pulls data from a database to display key metrics like click-through rates and conversion numbers interactively.

Do I need Python and Plotly to create interactive reports and dashboards?▼

Yes, you need Python, Streamlit, and Plotly to create interactive reports and dashboards using this method. These dependencies enable the development of visual data reports and live data source connections.

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