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Grafana dashboarding

Skill Jylhis/skills/skills/services/grafana-dashboarding

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Install
npx -y skills add Jylhis/skills --skill grafana-dashboarding

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What its author says it does

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Build, modify, and ship Grafana dashboards as JSON via the HTTP API — panel types (timeseries / stat / gauge / table / heatmap / logs / traces / node-graph), `gridPos` 24-column layout, units, thresholds, template + datasource + chained variables, transformations (`organize` / `calculateField` / `filterByValue`), panel + dashboard links with `${__field.labels.x}` / `${__from}`, and Loki/Prometheus annotations. Use when scripting dashboard creation, writing the dashboard JSON for a new service, adding a `$job` dropdown variable, computing an "Error %" column with a transformation, overlaying deploys as annotations, or pushing a dashboard via `POST /api/dashboards/db` — even when the user says "create a dashboard for this metric", "add a service dropdown", "show errors as percentage", "overlay our deploys", or "export the dashboard JSON" without naming the API or schema. After every API push, verify with the returned `version` plus a GET on the dashboard UID.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

5.6 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Grafana Dashboard Authoring

Docs: https://grafana.com/docs/grafana/latest/dashboards/

Dashboards are JSON. Author once, push via API, share by uid.

Prerequisites

  • Grafana stack (OSS, Enterprise, or Cloud) reachable from your machine
  • API token with dashboards:write (Authorization: Bearer <token>)
  • jq for inspecting responses
  • The JSON-schema cheat sheet in references/json-schema.md

Common Workflows

1. Push a new dashboard via the API + verify

# 1. Build the payload — wrap the dashboard JSON, set folder, mark overwrite
cat > /tmp/dash.json <<'JSON'
{
  "dashboard": {
    "uid": "demo-svc-v1",
    "title": "Demo Service",
    "schemaVersion": 41,
    "tags": ["demo"],
    "time": { "from": "now-1h", "to": "now" },
    "templating": { "list": [] },
    "panels": [{
      "id": 1, "type": "timeseries", "title": "Request Rate",
      "gridPos": { "x": 0, "y": 0, "w": 24, "h": 8 },
      "datasource": { "type": "prometheus", "uid": "prometheus" },
      "targets": [{
        "expr": "sum(rate(http_requests_total[5m])) by (status_code)",
        "legendFormat": "{{status_code}}", "refId": "A"
      }],
      "fieldConfig": { "defaults": { "unit": "reqps" }, "overrides": [] }
    }]
  },
  "folderUid": "",
  "overwrite": true,
  "message": "initial push"
}
JSON

# 2. Validate the JSON BEFORE you send it (catches trailing-comma typos)
jq empty /tmp/dash.json && echo "json ok"

# 3. POST
RESP=$(curl -s -X POST -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  "$GRAFANA/api/dashboards/db" -d @/tmp/dash.json)
echo "$RESP" | jq '{status, uid, url, version}'
# Expect: status="success", url="/d/demo-svc-v1/...", version=1 (incremented on each push)

# 4. Verify the round-trip — read it back and confirm one panel + the expected title
curl -s -H "Authorization: Bearer $TOKEN" \
  "$GRAFANA/api/dashboards/uid/demo-svc-v1" \
  | jq '{title: .dashboard.title, panels: (.dashboard.panels | length)}'
# Expect: {"title":"Demo Service","panels":1}

# 5. Open the dashboard in a browser — confirm the panel renders with data.

2. Add a $job template variable to an existing dashboard

# 1. Fetch existing dashboard
curl -s -H "Authorization: Bearer $TOKEN" \
  "$GRAFANA/api/dashboards/uid/demo-svc-v1" > /tmp/dash.json

# 2. Edit templating.list — append:
#   { "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" }
#  (Use jq, an editor, or the Grafana UI — schema in references/json-schema.md.)

# 3. Update the panel expr to use the variable: rate(http_requests_total{job=~"$job"}[5m])

# 4. POST it back with overwrite: true. Verify the variable appears in the UI dropdown.

3. Compute an "Error %" column with a transformation

{
  "id": "calculateField",
  "options": {
    "alias": "Error %", "mode": "reduceRow",
    "reduce": { "reducer": "last" },
    "binary": { "left": "errors", "right": "total", "operator": "/" }
  }
}

Add this to the panel's transformations: []. Verify in the UI panel inspector — the new field should appear and update with the variable selection.

Full schema (panels, units, all transformations, annotations, links): references/json-schema.md.

API reference

# Get
curl -s -H "Authorization: Bearer $TOKEN" \
  "$GRAFANA/api/dashboards/uid/<uid>" | jq '.dashboard'

# Search
curl -s -H "Authorization: Bearer $TOKEN" \
  "$GRAFANA/api/search?query=kubernetes&type=dash-db" | jq '.[] | {uid,title,folderTitle}'

# Create folder
curl -s -X POST -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" "$GRAFANA/api/folders" \
  -d '{"uid":"platform-team","title":"Platform Team"}'

For dashboards embedded in app plugins, use @grafana/scenes (skill grafana-o11y:grafana-scenes).

Resources

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