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dashboardingdashboarding 搜索

Agent Skill

dashboarding 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,836

周安装

117

GitHub Stars

26

下载量

927
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:dashboarding(dashboarding 搜索)
来源仓库:https://github.com/grafana/skills
仓库路径:skills/dashboarding
安装命令:
npx skills add https://github.com/grafana/skills --skill dashboarding
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/grafana/skills --skill dashboarding

简介

dashboarding 提供 Grafana 仪表板 JSON 结构知识,支持程序化创建和修改。

  • 掌握 schemaVersion、panels、templating 等关键字段含义,便于 API 集成。
  • 可用于自动化部署、版本控制或与其他系统集成,提升运维效率。
  • 修改前建议备份原文件,防止 JSON 格式错误导致仪表板失效。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Grafana Dashboard Authoring

Dashboards are JSON documents stored in Grafana. Every dashboard has panels, variables, time range, and refresh settings. Understanding the JSON schema lets you programmatically create and modify dashboards via the API or Grafana Assistant tools.


Dashboard JSON structure

{
  "title": "My Dashboard",
  "uid": "my-dashboard-v1",
  "tags": ["service", "production"],
  "time": { "from": "now-1h", "to": "now" },
  "refresh": "30s",
  "timezone": "browser",
  "schemaVersion": 41,
  "templating": { "list": [] },
  "annotations": { "list": [] },
  "panels": []
}

Key fields:

  • uid - stable identifier used in URLs and API calls; keep it short and meaningful
  • schemaVersion - use 41 for Grafana 11+
  • time.from / to - supports relative (now-1h, now-7d) and absolute ISO timestamps
  • refresh - auto-refresh interval ("30s", "1m", "5m", "" for off)

Panel types and when to use them

PanelUse case
Time seriesAny metric over time; the default choice for counters, rates, gauges
StatSingle current value with optional sparkline (e.g. uptime, current RPS)
GaugePercent or value against a min/max (e.g. disk usage %)
Bar gaugeCompare multiple values side by side (e.g. top 10 services by RPS)
TableMulti-column data (e.g. alert list with labels)
HeatmapDistribution over time (e.g. request duration histogram)
LogsLoki log streams
TracesTempo trace search
TextMarkdown documentation panels
CandlestickOHLC/financial data (or min/max/avg patterns)
Node graphService dependency graphs

Panel JSON structure

{
  "id": 1,
  "type": "timeseries",
  "title": "Request Rate",
  "gridPos": { "x": 0, "y": 0, "w": 12, "h": 8 },
  "datasource": { "type": "prometheus", "uid": "${datasource}" },
  "targets": [
    {
      "expr": "sum(rate(http_requests_total{job=\"$job\"}[5m])) by (status_code)",
      "legendFormat": "{{status_code}}",
      "refId": "A"
    }
  ],
  "fieldConfig": {
    "defaults": {
      "unit": "reqps",
      "thresholds": {
        "mode": "absolute",
        "steps": [
          { "color": "green", "value": null },
          { "color": "yellow", "value": 1000 },
          { "color": "red", "value": 5000 }
        ]
      }
    },
    "overrides": []
  },
  "options": {
    "legend": { "calcs": ["mean", "max", "last"], "displayMode": "table", "placement": "bottom" },
    "tooltip": { "mode": "multi", "sort": "desc" }
  }
}

gridPos: The dashboard uses a 24-column grid. Common widths: full-width=24, half=12, third=8, quarter=6. Height in grid units (1 unit ≈ 30px).


Useful unit identifiers

# Rates
"reqps"      -- requests per second
"ops"        -- operations per second
"Bps"        -- bytes per second
"percentunit" -- 0.0-1.0 as percentage

# Storage
"bytes"      -- bytes (auto-scales to KB/MB/GB)
"decbytes"   -- decimal bytes (1 KB = 1000 B)

# Time
"ms"         -- milliseconds
"s"          -- seconds
"dtdurationms" -- duration in ms (shows as "1h 2m 3s")

# Counts
"short"      -- compact number (1.2k, 3.4M)
"none"       -- raw number

Full list: Panel > Field > Unit dropdown in Grafana UI, or the units reference.


Template variables

Variables make dashboards reusable across environments and services.

Query variable (populates from metric labels):

{
  "name": "job",
  "type": "query",
  "datasource": { "type": "prometheus", "uid": "prometheus" },
  "query": { "query": "label_values(up, job)", "refId": "A" },
  "refresh": 2,
  "includeAll": true,
  "multi": true,
  "label": "Service"
}

Constant variable:

{
  "name": "cluster",
  "type": "constant",
  "query": "production",
  "label": "Cluster"
}

Datasource variable (switch data sources without editing queries):

{
  "name": "datasource",
  "type": "datasource",
  "pluginId": "prometheus",
  "includeAll": false,
  "label": "Prometheus"
}

Use variables in queries:

# Reference a variable in a PromQL query
rate(http_requests_total{job=~"$job"}[5m])

# Multi-value variable uses regex OR automatically
# When $job = ["api", "worker"], it becomes job=~"api|worker"

Chain variables (second variable filters based on first):

{
  "name": "pod",
  "query": "label_values(kube_pod_info{namespace=\"$namespace\"}, pod)"
}

Transformations

Transformations run client-side after data is fetched, reshaping results without changing queries.

Common transformations:

"transformations": [
  {
    "id": "merge",
    "options": {}
  },
  {
    "id": "organize",
    "options": {
      "renameByName": { "Value #A": "Request Rate", "Value #B": "Error Rate" },
      "excludeByName": { "Time": true }
    }
  },
  {
    "id": "calculateField",
    "options": {
      "alias": "Error %",
      "mode": "reduceRow",
      "reduce": { "reducer": "last" },
      "binary": {
        "left": "errors",
        "right": "total",
        "operator": "/"
      }
    }
  },
  {
    "id": "filterByValue",
    "options": {
      "filters": [{ "fieldName": "Error %", "config": { "id": "greater", "options": { "value": 0.01 } } }],
      "type": "include",
      "match": "any"
    }
  }
]

Key transformation IDs: merge, organize, rename, calculateField, filterByValue, groupBy, sortBy, limit, labelsToFields, seriesToRows, partitionByValues.


Dashboard linking

Panel link (click a panel to go somewhere):

"links": [
  {
    "title": "Go to details",
    "url": "/d/details-dashboard?var-service=${__field.labels.service}",
    "targetBlank": false
  }
]

Dashboard link (top-right corner links):

"links": [
  {
    "title": "Runbook",
    "url": "https://wiki.example.com/runbook/${job}",
    "icon": "external link",
    "targetBlank": true,
    "type": "link"
  }
]

Built-in variables for links:

  • ${__value.raw} - current data point value
  • ${__field.labels.job} - label value from current series
  • ${__url.params} - current URL query parameters (pass-through)
  • ${__from} / ${__to} - current time range as Unix ms

Annotations

Show events overlaid on time series panels (deployments, incidents, etc.).

Query annotation from Loki:

{
  "datasource": { "type": "loki", "uid": "loki" },
  "expr": "{job=\"deployments\"} |= \"deployed\"",
  "name": "Deployments",
  "iconColor": "blue",
  "titleFormat": "{{service}} deployed",
  "textFormat": "{{version}} by {{author}}"
}

Query annotation from Prometheus:

{
  "datasource": { "type": "prometheus", "uid": "prometheus" },
  "expr": "changes(kube_deployment_status_observed_generation{namespace=\"production\"}[5m]) > 0",
  "step": "60s",
  "name": "Deployments",
  "iconColor": "blue",
  "titleFormat": "Deploy: {{deployment}}"
}

Dashboard via API

# Create or update a dashboard
curl -s -X POST \
  -H "Authorization: Bearer <API_KEY>" \
  -H "Content-Type: application/json" \
  "https://myorg.grafana.net/api/dashboards/db" \
  -d '{
    "dashboard": { <dashboard JSON> },
    "folderUid": "my-folder",
    "overwrite": true,
    "message": "Updated via API"
  }'

# Get a dashboard by UID
curl -s -H "Authorization: Bearer <API_KEY>" \
  "https://myorg.grafana.net/api/dashboards/uid/my-dashboard-v1" | jq '.dashboard'

# Search dashboards
curl -s -H "Authorization: Bearer <API_KEY>" \
  "https://myorg.grafana.net/api/search?query=kubernetes&type=dash-db" | \
  jq '.[] | {uid, title, folderTitle}'

# Create a folder
curl -s -X POST \
  -H "Authorization: Bearer <API_KEY>" \
  -H "Content-Type: application/json" \
  "https://myorg.grafana.net/api/folders" \
  -d '{"uid": "platform-team", "title": "Platform Team"}'

Grafana scenes (app plugins)

For dashboards embedded in app plugins, use @grafana/scenes instead of raw JSON. See the grafana-o11y:grafana-scenes skill for the React-based scenes API.


References

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02

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03

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能力概览

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.59%
按下载量换算330

Claude

33.65%
按下载量换算312

Cursor

18.56%
按下载量换算172

Gemini CLI

10.08%
按下载量换算93

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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