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build-dashboard

Build source-backed analytical dashboards for BI platforms, HTML, or Streamlit apps.

8|12|Updated Sep 19, 2025
Search Tags:#dashboard#data validation#Streamlit#BI dashboard#metric design#source-backed analytics#MCP artifact
One-click install
npx skills add https://github.com/xpert-ai/xpert-plugins --skill build-dashboard-xpert-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: build-dashboard
Source: https://github.com/xpert-ai/xpert-plugins/tree/main/community/roles/data-analytics/skills/build-dashboard
Command: npx skills add https://github.com/xpert-ai/xpert-plugins --skill build-dashboard-xpert-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of building unvalidated, inconsistent, or unactionable dashboards that fail to give teams clear visibility into key product and business metrics, leading to slow, misinformed decision-making.

Core Features & Use Cases

  • Multi-surface delivery: Supports building dashboards for BI platforms, in-XpertAI MCP artifacts, portable HTML, and Streamlit apps to fit different sharing and use case needs.
  • Source-backed validation: Enforces live data verification, metric consistency, and source provenance to ensure all dashboard numbers are trustworthy and reproducible.
  • Use case: A product team can use this Skill to build a user activation dashboard with validated KPIs, trend charts, and segment filters to monitor launch performance and identify user drop-off points.

Quick Start

Use the build-dashboard skill to create a source-backed product performance dashboard with key KPIs, trend visualizations, and segment filters for your operations team.

Frequently Asked Questions about build-dashboard

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

FAQPage Schema
How do I build a BI dashboard with validated metrics and data provenance?▼

To build a BI dashboard with validated metrics, use a tool that enforces source discovery, live data verification, and metric consistency. This ensures all dashboard numbers are trustworthy, reproducible, and aligned with audience needs.

Can I create a Streamlit app dashboard for monitoring product performance?▼

Yes, you can create a Streamlit app dashboard for monitoring product performance. The skill generates Streamlit apps equipped with validated KPIs, trend visualizations, and segment filters to track user activation and identify drop-off points.

What is the best way to generate a portable HTML dashboard from live data sources?▼

The best way to generate a portable HTML dashboard from live data sources is to use a skill that enforces source-backed validation and surface-specific specification compliance. This guarantees the portable HTML output remains trustworthy and actionable.

Does this dashboard builder support in-XpertAI MCP artifact outputs?▼

Yes, the dashboard builder supports in-XpertAI MCP artifact outputs. It allows you to build source-backed analytical dashboards directly as MCP artifacts, fitting specific sharing and monitoring use case needs within the platform.

Why are my dashboard metrics inconsistent across different BI platform visualizations?▼

Dashboard metrics are often inconsistent across BI platform visualizations due to a lack of source-backed data validation and metric consistency enforcement. Applying live data verification and source provenance ensures all numbers remain trustworthy and reproducible.

How do I design a user activation dashboard with segment filters and trend charts?▼

You can design a user activation dashboard by applying source discovery and metric design principles. This process yields a dashboard with validated KPIs, trend charts, and segment filters to monitor launch performance and identify user drop-off points.

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