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Skills/grafana/skills/dashboarding
dashboarding logo

dashboarding

grafana/skills
1K installs161 stars
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Installation

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

Summary

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.

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

  • Grafana dashboard documentation
  • Grafana panel types reference
  • Grafana HTTP API — dashboards
  • Dashboard variables
  • Transformations reference

Score

0–100
63/ 100

Grade

C

Popularity15/30

1,466 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Dashboarding skill score badge previewScore badge

Markdown

[![Dashboarding skill](https://www.remoteopenclaw.com/skills/grafana/skills/dashboarding/badges/score.svg)](https://www.remoteopenclaw.com/skills/grafana/skills/dashboarding)

HTML

<a href="https://www.remoteopenclaw.com/skills/grafana/skills/dashboarding"><img src="https://www.remoteopenclaw.com/skills/grafana/skills/dashboarding/badges/score.svg" alt="Dashboarding skill"/></a>

Dashboarding FAQ

How do I install the Dashboarding skill?

Run “npx skills add https://github.com/grafana/skills --skill dashboarding” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Dashboarding skill do?

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. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Dashboarding skill free?

Yes. Dashboarding is a free, open-source skill published from grafana/skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Dashboarding work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Dashboarding works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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