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grafana/dashboarding

建立、修改與組織 Grafana 儀表板,包含面板、變數、轉換與警示功能。

dashboarding 是什麼?

這個技能讓 AI 代理能夠直接建立、修改與組織 Grafana 儀表板。它支援所有常見的儀表板元件,包括時間序列、統計、表格面板、範本變數、資料轉換、臨界值、面板連結與 Grafana 註解。使用者可以要求「建立儀表板」、「新增面板」、「設定時間序列面板」或「匯出儀表板 JSON」,代理會根據標準的 Grafana 實務最佳作法產生對應的 JSON 結構。這個技能適合任何 Grafana 平台(包括 Grafana Cloud、Grafana OSS 或企業版),並能與服務監控或基礎設施儀表板整合。它也能處理警示規則與儀表板資料夾的組織,讓 AI 協助使用者在複雜的 Grafana 環境中進行完整的視覺化與監控管理工作。

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說明文件

dashboarding 是做什麼的?

建立、修改與組織 Grafana 儀表板,包含面板、變數、轉換與警示功能。當使用者要求建立 Grafana 儀表板、新增面板、設定時間序列或統計面板、新增範本變數、設定儀表板連結、使用轉換、設定臨界值、為某個服務建立儀表板或匯出儀表板 JSON 時使用。觸發詞包含「建立儀表板」、「新增面板」、「時間序列面板」、「Grafana 儀表板 JSON」、「範本變數」、「儀表板變數」、「面板轉換」、「臨界值」、「統計面板」、「表格面板」、「Grafana 註解」或「儀表板資料夾」。

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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