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grafana/opentelemetry

OpenTelemetry(開放式遙測)搭配 Grafana 技術棧。涵蓋 Go/Java/Python/Node.js/.NET 語言的 OTel SDK 檢測、OTLP 協定與端點設定、透過 OTLP 端點將遙測數據傳送至 Grafana Cloud、以 Grafana Alloy 作為 OTel 收集器、取樣策略、Kubernetes OTel Operator,以及從其他觀測性工具遷移。適用於使用 OTel 檢測應用程式、設定 OTLP 端點、建立收集器,或遷移至 OpenTelemetry 的情境。

opentelemetry 是什麼?

這個技能提供使用 OpenTelemetry (OTel) 與 Grafana 技術棧的完整指引,協助開發者和平台工程師為應用程式加上檢測、設定遙測數據管線,並將數據傳送至 Grafana Cloud。它詳細說明了如何利用 OTel SDK 檢測 Go、Java、Python、Node.js 及 .NET 等主流語言的應用程式,並涵蓋 OTLP 協定和端點設定。此外,也介紹了使用 Grafana Alloy 作為 OTel 收集器、取樣策略、在 Kubernetes 上部署 OTel Operator,以及從其他觀測性工具(如 Prometheus 或 Jaeger)遷移至 OTel 的實務做法。支援的平台包括 Grafana Cloud、Grafana Alloy 和 Kubernetes。這個技能對於正在進行應用程式觀測性現代化、標準化遙測數據收集,或希望整合 Grafana 生態系的團隊尤其有價值。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/grafana/skills/tree/main/skills/opentelemetry

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說明文件

opentelemetry 是做什麼的?

OpenTelemetry(開放式遙測)搭配 Grafana 技術棧。涵蓋 Go/Java/Python/Node.js/.NET 語言的 OTel SDK 檢測、OTLP 協定與端點設定、透過 OTLP 端點將遙測數據傳送至 Grafana Cloud、以 Grafana Alloy 作為 OTel 收集器、取樣策略、Kubernetes OTel Operator,以及從其他觀測性工具遷移。適用於使用 OTel 檢測應用程式、設定 OTLP 端點、建立收集器,或遷移至 OpenTelemetry 的情境。

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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