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grafana/dashboarding

Crear, modificar y organizar paneles de control de Grafana, incluyendo paneles, variables, transformaciones y alertas.

¿Qué es dashboarding?

Esta habilidad permite a un agente de IA crear, modificar y organizar paneles de control de Grafana de manera automatizada. Es especialmente útil para desarrolladores y operadores que necesitan gestionar dashboards de monitorización sin intervención manual, ya que soporta la creación de paneles de series temporales, paneles de estadísticas, variables de plantilla, transformaciones, umbrales, enlaces entre dashboards y exportación de JSON. Funciona en plataformas como Claude Code, Cursor y otros entornos de IA para desarrollo, y se activa con frases comunes como 'crear dashboard', 'añadir panel' o 'variables de plantilla'. El agente interpreta las instrucciones del usuario y genera o modifica la configuración del dashboard según las mejores prácticas de Grafana.

Compatible con~Claude Code~Codex CLI~Cursor
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npx skills add https://github.com/grafana/skills/tree/main/skills/dashboarding

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Documentación

¿Qué hace dashboarding?

Crear, modificar y organizar paneles de control de Grafana, incluyendo paneles, variables, transformaciones y alertas. Utilízala cuando el usuario solicite crear un panel de control de Grafana, añadir un panel, configurar un panel de series temporales o estadísticas, agregar variables de plantilla, configurar enlaces entre paneles, usar transformaciones, definir umbrales, construir un panel para un servicio o exportar JSON del panel. Se activa con frases como "crear dashboard", "añadir panel", "panel de series temporales", "JSON de dashboard de Grafana", "variables de plantilla", "variable de dashboard", "transformación de panel", "umbral", "panel de estadísticas", "panel de tabla", "anotaciones de Grafana" o "carpeta de dashboard".

Individual skills in this repo

This repo contains 4 individual skills — each has its own dedicated page.

grafana/grafana-oss

Configure Grafana OSS — provisions dashboards from YAML, sets up data sources (Prometheus / Loki / Tempo / Pyroscope), writes dashboard JSON with template variables, builds panel queries, assigns built-in roles (Viewer / Editor / Admin / GrafanaAdmin), mints service-account tokens, edits grafana.ini server config, creates annotations, installs plugins via provisioning, and validates each step with a health-check curl. Use when building dashboards, configuring data sources, setting up provisioning YAML, picking a panel type, writing template variables, managing users and roles, configuring SMTP/OAuth in grafana.ini, creating annotations via API, troubleshooting why a provisioned dashboard isn't showing up, or running Grafana OSS locally — even when the user says "set up a Prometheus data source", "provision dashboards from git", "make a service account", or "configure SSO in OSS" without saying "Grafana OSS".

grafana/opentelemetry

OpenTelemetry with Grafana stack. Covers OTel SDK instrumentation for Go/Java/Python/Node.js/.NET, OTLP protocol and endpoint configuration, sending telemetry to Grafana Cloud via OTLP endpoint, Grafana Alloy as OTel collector, sampling strategies, Kubernetes OTel Operator, and migration from other observability tools. Use when instrumenting apps with OTel, configuring OTLP endpoints, setting up collectors, or migrating to OpenTelemetry.

grafana/prometheus

Prometheus and Grafana Cloud Metrics overview including PromQL query language, Metrics Drilldown, alerting, recording rules, and integration patterns. Use when working with Prometheus, writing PromQL queries, configuring alerting, or discussing metrics architecture and best practices.

grafana/promql

Write, validate, and optimise PromQL queries for Prometheus and Grafana Cloud Metrics. Use when the user asks to query metrics, write a PromQL expression, calculate rates, aggregate across labels, build histogram quantiles, create recording rules, debug query performance, or understand metric cardinality. Triggers on phrases like "PromQL", "Prometheus query", "write a metric query", "calculate rate", "histogram_quantile", "recording rule", "metric cardinality", "sum by", "rate vs irate", "absent()", or "query is slow".

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