Dashboards

This skill helps you create production-ready Grafana dashboards for monitoring applications and infrastructure. It provides design patterns like RED and USE methods, JSON templates for common dashboard types (API, database, infrastructure), and provisioning examples using Terraform and Ansible.

This skill provides comprehensive guidance for using Plotly, a Python library for creating interactive, publication-quality data visualizations. It covers 40+ chart types including scatter plots, bar charts, 3D surfaces, and geographic maps, along with styling, export options, and Dash integration for web applications.

Mviz is a data visualization skill that generates clean, professional charts and dashboards from compact JSON specifications or markdown files. It supports 17+ chart types (bar, line, scatter, heatmap, sankey, etc.) and 8 UI components, using a 16-column grid layout system with light/dark theme support.