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Dashboard Patterns

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cleanexpo·vlatest·data·MIT

Identifies recurring data anomalies and trends within CleanExpo dashboard metrics to highlight potential operational issues.

Install on your platform

This skill no longer installs under the name dashboard-patterns. cleanexpo/nodejs-starter-v1 is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

cleanexpo

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Install target

Live repository

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Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

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  • Pinned to a commit: passed

    Scanned cleanexpo/nodejs-starter-v1 at 7b45925bd4.

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Scanned
7 files, 1,643 lines
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About this skill

What it does

The cleanexpo-dashboard-patterns skill provides pre-built dashboard patterns for rapid development. It allows users to quickly generate common dashboard layouts and components, reducing boilerplate code and accelerating UI creation. This skill is designed to streamline the process of building interactive data visualizations and user interfaces.

When to use it

  • Creating a new internal analytics dashboard for tracking key performance indicators (KPIs).
  • Developing a customer-facing reporting portal with pre-defined chart types.
  • Prototyping a data visualization tool quickly to demonstrate functionality.
  • Building a control panel for managing system resources and displaying real-time metrics.

Key capabilities

  • Pre-built dashboard layouts
  • Common component templates
  • Rapid UI generation
  • Reduced boilerplate code

Example prompts

  • "Generate a dashboard with sales data, including a line chart of monthly revenue."
  • "Create a user interface for displaying website traffic statistics."
  • “Show me a template for a KPI dashboard.”

Tips & gotchas

This skill assumes some familiarity with UI development concepts. While it simplifies the process, understanding basic HTML and CSS will help you customize the generated dashboards further.