How to install dashboarding
npx skills add https://github.com/grafana/skills --skill dashboardingFull instructions (SKILL.md)
Source of truth, from grafana/skills.
name: dashboarding license: Apache-2.0 description: 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, configure thresholds, build a dashboard for a service, or export dashboard JSON. Triggers on phrases like "create dashboard", "add panel", "time series panel", "Grafana dashboard JSON", "template variables", "dashboard variable", "panel transformation", "threshold", "stat panel", "table panel", "Grafana annotations", or "dashboard folder".
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 meaningfulschemaVersion- use41for Grafana 11+time.from/to- supports relative (now-1h,now-7d) and absolute ISO timestampsrefresh- auto-refresh interval ("30s","1m","5m",""for off)
Panel types and when to use them
| 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 data (e.g. alert list with labels) |
| Heatmap | Distribution over time (e.g. request duration histogram) |
| Logs | Loki log streams |
| Traces | Tempo trace search |
| Text | Markdown documentation panels |
| Candlestick | OHLC/financial data (or min/max/avg patterns) |
| Node graph | Service 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
More from grafana/skills and the wider catalog.
promql
Agent skill from grafana/skills.
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".
opentelemetry
>
prometheus
>
loki
>
alerting-irm
Configure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack/PagerDuty/email/webhook), notification policies with hierarchical matchers, silences, mute timings, on-call schedules and escalation chains, incident-management integrations, and SLOs with multi-window burn-rate alerts. Use when configuring alerts, debugging notification routing, setting up on-call rotations, declaring or managing incidents, defining SLOs, provisioning alerting via YAML or API, picking matchers for a notification policy, building a PagerDuty/Slack webhook receiver, or troubleshooting why an alert isn't firing — even when the user says "page me on errors", "alert me when X happens", "route this to the platform team", or "set up an SLO" without naming Alerting or IRM.