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grafana/opentelemetry

OpenTelemetry con el stack de Grafana. Cubre instrumentación con SDK OTel para Go/Java/Python/Node.js/.NET, configuración del protocolo y endpoints OTLP, envío de telemetría a Grafana Cloud a través del endpoint OTLP, Grafana Alloy como colector OTel, estrategias de muestreo, operador de Kubernetes para OTel y migración desde otras herramientas de observabilidad.

¿Qué es opentelemetry?

Esta habilidad proporciona una guía completa para implementar OpenTelemetry (OTel) dentro del ecosistema de Grafana. Está diseñada para desarrolladores e ingenieros de plataforma que necesitan instrumentar aplicaciones con los SDK oficiales de OTel en lenguajes populares como Go, Java, Python, Node.js y .NET. La habilidad cubre desde la configuración básica del protocolo OTLP y endpoints hasta el despliegue de colectores avanzados como Grafana Alloy. También incluye temas críticos como estrategias de muestreo para optimizar costos y rendimiento, el uso del operador de Kubernetes para gestión automatizada de colectores, y pautas para migrar desde otras herramientas de observabilidad (como Prometheus o Jaeger) a OpenTelemetry. Es especialmente útil en contextos donde se necesita enviar telemetría a Grafana Cloud o configurar pipelines de observabilidad nativos de la nube.

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

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¿Qué hace opentelemetry?

OpenTelemetry con el stack de Grafana. Cubre instrumentación con SDK OTel para Go/Java/Python/Node.js/.NET, configuración del protocolo y endpoints OTLP, envío de telemetría a Grafana Cloud a través del endpoint OTLP, Grafana Alloy como colector OTel, estrategias de muestreo, operador de Kubernetes para OTel y migración desde otras herramientas de observabilidad. Úsalo al instrumentar aplicaciones con OTel, configurar endpoints OTLP, implementar colectores o migrar a OpenTelemetry.

Individual skills in this repo

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

grafana/dashboarding

Create, modify, and organise Grafana dashboards including panels, variables, transformations, and alerting. Use when the user asks to create a Grafana dashboard, add a panel, configure a time series or stat panel, add template variables, set up dashboard linking, use transformations, configure thresholds, build a dashboard for a service, or export dashboard JSON. Triggers on phrases like "create dashboard", "add panel", "time series panel", "Grafana dashboard JSON", "template variables", "dashboard variable", "panel transformation", "threshold", "stat panel", "table panel", "Grafana annotations", or "dashboard folder".

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/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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