kibana-dashboard

What problem does it solve?

This Skill removes manual dashboard construction by translating high-level descriptions and data queries into runnable Kibana-as-code dashboards, saving time and ensuring consistent layouts and validation.

Core Features & Use Cases

• Data discovery: Use index listing, mappings, and sampling queries to understand available fields and time ranges before building panels.
• Dashboard as code: Generate metric, XY, gauge, datatable, and markdown panels and translate them into the raw Kibana as-code API format or call the kibana_create_dashboard tool.
• Schema and safety rules: Enforces ES|QL vs dataView placement, layer-level dataset rules, axis/alias constraints, grid sizing, time-range validation, and required feature-flag handling with fallbacks for older Kibana versions.
• Use case: Quickly create observability dashboards that show KPIs, trend charts, and summary tables for an Elasticsearch index across a consistent grid and validated time window.

Quick Start

Create a Kibana dashboard showing average response time, request rate, and error rate for my-index over the last 24 hours using the kibana_create_dashboard tool.