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grafana/dashboarding

创建、修改和组织 Grafana 仪表板,包括面板、变量、转换和告警。当用户要求创建 Grafana 仪表板、添加面板、配置时间序列或统计面板、添加模板变量、设置仪表板链接、使用转换、配置阈值、为服务构建仪表板或导出仪表板 JSON 时使用。

dashboarding 是什么?

此技能专注于管理 Grafana 仪表板的整个生命周期,包括面板、变量、转换和告警。它允许用户通过自然语言指令轻松创建新的仪表板,添加或修改各种面板(如时间序列、统计、表格),配置模板变量以实现动态过滤,以及应用转换来重塑数据。该技能还支持设置告警规则和阈值,以及组织仪表板文件夹和链接。它适用于 Claude Code、Cursor 和 Codex 等平台,帮助开发者和运维人员高效地构建和维护 Grafana 可视化。基于 SKILL.md 文档,当用户使用诸如“创建仪表板”、“添加面板”、“时间序列面板”、“模板变量”、“面板转换”、“阈值”或“Grafana 告警注释”等短语时,该技能将被自动触发。

兼容平台~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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文档

dashboarding 是做什么的?

创建、修改和组织 Grafana 仪表板,包括面板、变量、转换和告警。当用户要求创建 Grafana 仪表板、添加面板、配置时间序列或统计面板、添加模板变量、设置仪表板链接、使用转换、配置阈值、为服务构建仪表板或导出仪表板 JSON 时使用。触发短语包括“创建仪表板”、“添加面板”、“时间序列面板”、“Grafana 仪表板 JSON”、“模板变量”、“仪表板变量”、“面板转换”、“阈值”、“统计面板”、“表格面板”、“Grafana 注释”或“仪表板文件夹”。

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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