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Dashboarding

  • 3.3k installs
  • 211 repo stars
  • Updated August 4, 2026
  • grafana/skills

dashboarding is an agent skill that Create, modify, and organise Grafana dashboards including panels, variables, transformations,.

About

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 json 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 Use case Time series Any metric over time the default choice for counters rates gauges Stat Single current value with optional sparkline e g uptime current RPS Gauge Percent or value against a min max e g disk usage Bar gauge Compare multiple values side by side e g top 10 services by RPS Table Multi column

  • 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,
  • See SKILL.md for dashboarding operational details.
  • See SKILL.md for dashboarding operational details.

Dashboarding by the numbers

  • 3,250 all-time installs (skills.sh)
  • +284 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #244 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: HIGH risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

dashboarding capabilities & compatibility

Capabilities
create, modify, and organise grafana dashboards · and alerting. use when the user asks to create a · time series or stat panel, add template variable · see skill.md for dashboarding operational detail
Use cases
orchestration
From the docs

What dashboarding says it does

Create, modify, and organise Grafana dashboards including panels, variables, transformations,
SKILL.md
and alerting. Use when the user asks to create a Grafana dashboard, add a panel, configure a
SKILL.md
time series or stat panel, add template variables, set up dashboard linking, use transformations,
SKILL.md
npx skills add https://github.com/grafana/skills --skill dashboarding

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Listed on Skillselion
Installs3.3k
repo stars211
Security audit2 / 3 scanners passed
Last updatedAugust 4, 2026
Repositorygrafana/skills

What does dashboarding help with and when should an agent load it?

Create, modify, and organise Grafana dashboards including panels, variables, transformations,

Who is it for?

Developers using dashboarding as documented in the skill repository.

Skip if: Skip when the task falls outside the dashboarding documented scope.

When should I use this skill?

User asks about dashboarding or matching trigger phrases in SKILL.md.

What you get

Agent actions aligned with the dashboarding SKILL.md workflow and documented deliverables.

  • Grafana dashboard JSON
  • Panel and variable configurations
  • Alerting rule definitions

Files

SKILL.mdMarkdownGitHub ↗

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

Related skills

How it compares

Pick dashboarding for Grafana-native JSON dashboard authoring rather than generic visualization skills that lack panel transformations and template variables.

FAQ

What is dashboarding?

Create, modify, and organise Grafana dashboards including panels, variables, transformations,

When should I use dashboarding?

Create, modify, and organise Grafana dashboards including panels, variables, transformations,

Is dashboarding safe to install?

Review the Security Audits panel on this page before installing in production.

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