opensearch-dashboard

Name: opensearch-dashboard
Author: girijashankarj

27stars3forks

How to install opensearch-dashboard?

girijashankarj/cursor-handbook/opensearch-dashboard

$npx -y skills add girijashankarj/cursor-handbook --skill opensearch-dashboard

Installs into the current project.

Summary

Generate OpenSearch Dashboards (Kibana) saved objects — index patterns, visualizations, and dashboards as JSON. Use when the user asks to create dashboards, charts, or visualizations for OpenSearch/Elasticsearch/Kibana.

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SKILL.md

1	# Skill: OpenSearch Dashboard & Visualization Generator
2
3	Generate exportable OpenSearch Dashboards / Kibana saved objects (index patterns, visualizations, dashboards) as NDJSON for import.
4
5	## Trigger
6	When the user asks to create, generate, or design OpenSearch/Kibana dashboards, visualizations, or index patterns.
7
8	## Prerequisites
9	- [ ] Index name or pattern known (e.g., `logs-`, `orders-`)
10	- [ ] Field names and types known (or mapping available)
11	- [ ] Visualization requirements identified (chart type, metrics, dimensions)
12
13	## Steps
14
15	### Step 1: Identify Index Pattern
16	- [ ] Get the index name or pattern from the user
17	- [ ] List key fields and their types (keyword, text, date, long, float, boolean, geo_point)
18	- [ ] Identify the time field (usually `@timestamp` or `created_at`)
19	- [ ] Note any nested or object fields
20
21	```json
22	{
23	"type": "index-pattern",
24	"attributes": {
25	"title": "logs-*",
26	"timeFieldName": "@timestamp",
27	"fields": "[]"
28	}
29	}
30	```
31
32	### Step 2: Determine Visualization Types
33
34	\| Chart Type \| Best For \| OpenSearch Vis Type \|
35	\|-----------\|----------\|-------------------\|
36	\| Line chart \| Trends over time \| `line` \|
37	\| Bar chart \| Comparisons, distributions \| `histogram` \|
38	\| Pie chart \| Proportions \| `pie` \|
39	\| Area chart \| Cumulative trends \| `area` \|
40	\| Data table \| Detailed breakdowns \| `table` \|
41	\| Metric \| Single KPI value \| `metric` \|
42	\| Gauge \| Value against threshold \| `gauge` \|
43	\| Heat map \| Density / correlation \| `heatmap` \|
44	\| Markdown \| Text panels, notes \| `markdown` \|
45	\| TSVB \| Advanced time series \| `metrics` \|
46	\| Vega \| Custom visualizations \| `vega` \|
47
48	### Step 3: Design Each Visualization
49
50	For each visualization:
51	- [ ] Choose chart type from the table above
52	- [ ] Define metric aggregation (count, sum, avg, min, max, cardinality, percentiles)
53	- [ ] Define bucket aggregation (date_histogram, terms, range, histogram, filters)
54	- [ ] Set appropriate time intervals
55	- [ ] Define split series or sub-aggregations if needed
56	- [ ] Choose colors and labels
57
58	#### Metric Aggregations
59	```json
60	{
61	"id": "1",
62	"enabled": true,
63	"type": "count",
64	"params": {},
65	"schema": "metric"
66	}
67	```
68
69	Common metrics:
70	- `count` — number of documents
71	- `avg` / `sum` / `min` / `max` — field statistics
72	- `cardinality` — unique count
73	- `percentiles` — p50, p95, p99
74	- `top_hits` — sample documents
75
76	#### Bucket Aggregations
77	```json
78	{
79	"id": "2",
80	"enabled": true,
81	"type": "date_histogram",
82	"params": {
83	"field": "@timestamp",
84	"interval": "auto",
85	"min_doc_count": 1
86	},
87	"schema": "segment"
88	}
89	```
90
91	Common buckets:
92	- `date_histogram` — time buckets (interval: 1m, 5m, 1h, 1d, auto)
93	- `terms` — top N values of a field
94	- `range` — custom numeric ranges
95	- `filters` — named query filters
96	- `histogram` — fixed-width numeric buckets
97
98	### Step 4: Generate Visualization JSON
99
100	Template for a visualization saved object:
101	```json
102	{
103	"type": "visualization",
104	"id": "[unique-id]",
105	"attributes": {
106	"title": "[Visualization Title]",
107	"visState": "{\"title\":\"[title]\",\"type\":\"[vis-type]\",\"aggs\":[...],\"params\":{...}}",
108	"uiStateJSON": "{}",
109	"description": "[what this shows]",
110	"kibanaSavedObjectMeta": {
111	"searchSourceJSON": "{\"index\":\"[index-pattern-id]\",\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"
112	}
113	}
114	}
115	```
116
117	### Step 5: Compose Dashboard Layout
118	- [ ] Arrange visualizations in a grid layout
119	- [ ] Group related metrics together
120	- [ ] Place summary/KPI panels at the top
121	- [ ] Place detailed breakdowns below
122	- [ ] Add markdown panels for section headers or notes
123
124	Dashboard saved object:
125	```json
126	{
127	"type": "dashboard",
128	"id": "[dashboard-id]",
129	"attributes": {
130	"title": "[Dashboard Title]",
131	"description": "[what this dashboard monitors]",
132	"panelsJSON": "[{\"gridData\":{\"x\":0,\"y\":0,\"w\":24,\"h\":15,\"i\":\"1\"},\"panelIndex\":\"1\",\"embeddableConfig\":{},\"panelRefName\":\"panel_0\"}]",
133	"optionsJSON": "{\"hidePanelTitles\":false,\"useMargins\":true}",
134	"timeRestore": true,
135	"timeTo": "now",
136	"timeFrom": "now-24h",
137	"refreshInterval": {
138	"pause": false,
139	"value": 30000
140	},
141	"kibanaSavedObjectMeta": {
142	"searchSourceJSON": "{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"
143	}
144	},
145	"references": [
146	{"name": "panel_0", "type": "visualization", "id": "[vis-id]"}
147	]
148	}
149	```
150
151	### Step 6: Generate NDJSON Export
152	- [ ] Combine all saved objects (index pattern + visualizations + dashboard)
153	- [ ] Output as NDJSON (one JSON object per line)
154	- [ ] Include references between objects
155
156	```
157	{"type":"index-pattern","id":"...","attributes":{...}}
158	{"type":"visualization","id":"...","attributes":{

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opensearch-dashboard

27stars3forks

View on GitHub

How to install opensearch-dashboard?

girijashankarj/cursor-handbook/opensearch-dashboard

$npx -y skills add girijashankarj/cursor-handbook --skill opensearch-dashboard

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Skill: OpenSearch Dashboard & Visualization Generator
2
3	Generate exportable OpenSearch Dashboards / Kibana saved objects (index patterns, visualizations, dashboards) as NDJSON for import.
4
5	## Trigger
6	When the user asks to create, generate, or design OpenSearch/Kibana dashboards, visualizations, or index patterns.
7
8	## Prerequisites
9	- [ ] Index name or pattern known (e.g., `logs-`, `orders-`)
10	- [ ] Field names and types known (or mapping available)
11	- [ ] Visualization requirements identified (chart type, metrics, dimensions)
12
13	## Steps
14
15	### Step 1: Identify Index Pattern
16	- [ ] Get the index name or pattern from the user
17	- [ ] List key fields and their types (keyword, text, date, long, float, boolean, geo_point)
18	- [ ] Identify the time field (usually `@timestamp` or `created_at`)
19	- [ ] Note any nested or object fields
20
21	```json
22	{
23	"type": "index-pattern",
24	"attributes": {
25	"title": "logs-*",
26	"timeFieldName": "@timestamp",
27	"fields": "[]"
28	}
29	}
30	```
31
32	### Step 2: Determine Visualization Types
33
34	\| Chart Type \| Best For \| OpenSearch Vis Type \|
35	\|-----------\|----------\|-------------------\|
36	\| Line chart \| Trends over time \| `line` \|
37	\| Bar chart \| Comparisons, distributions \| `histogram` \|
38	\| Pie chart \| Proportions \| `pie` \|
39	\| Area chart \| Cumulative trends \| `area` \|
40	\| Data table \| Detailed breakdowns \| `table` \|
41	\| Metric \| Single KPI value \| `metric` \|
42	\| Gauge \| Value against threshold \| `gauge` \|
43	\| Heat map \| Density / correlation \| `heatmap` \|
44	\| Markdown \| Text panels, notes \| `markdown` \|
45	\| TSVB \| Advanced time series \| `metrics` \|
46	\| Vega \| Custom visualizations \| `vega` \|
47
48	### Step 3: Design Each Visualization
49
50	For each visualization:
51	- [ ] Choose chart type from the table above
52	- [ ] Define metric aggregation (count, sum, avg, min, max, cardinality, percentiles)
53	- [ ] Define bucket aggregation (date_histogram, terms, range, histogram, filters)
54	- [ ] Set appropriate time intervals
55	- [ ] Define split series or sub-aggregations if needed
56	- [ ] Choose colors and labels
57
58	#### Metric Aggregations
59	```json
60	{
61	"id": "1",
62	"enabled": true,
63	"type": "count",
64	"params": {},
65	"schema": "metric"
66	}
67	```
68
69	Common metrics:
70	- `count` — number of documents
71	- `avg` / `sum` / `min` / `max` — field statistics
72	- `cardinality` — unique count
73	- `percentiles` — p50, p95, p99
74	- `top_hits` — sample documents
75
76	#### Bucket Aggregations
77	```json
78	{
79	"id": "2",
80	"enabled": true,
81	"type": "date_histogram",
82	"params": {
83	"field": "@timestamp",
84	"interval": "auto",
85	"min_doc_count": 1
86	},
87	"schema": "segment"
88	}
89	```
90
91	Common buckets:
92	- `date_histogram` — time buckets (interval: 1m, 5m, 1h, 1d, auto)
93	- `terms` — top N values of a field
94	- `range` — custom numeric ranges
95	- `filters` — named query filters
96	- `histogram` — fixed-width numeric buckets
97
98	### Step 4: Generate Visualization JSON
99
100	Template for a visualization saved object:
101	```json
102	{
103	"type": "visualization",
104	"id": "[unique-id]",
105	"attributes": {
106	"title": "[Visualization Title]",
107	"visState": "{\"title\":\"[title]\",\"type\":\"[vis-type]\",\"aggs\":[...],\"params\":{...}}",
108	"uiStateJSON": "{}",
109	"description": "[what this shows]",
110	"kibanaSavedObjectMeta": {
111	"searchSourceJSON": "{\"index\":\"[index-pattern-id]\",\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"
112	}
113	}
114	}
115	```
116
117	### Step 5: Compose Dashboard Layout
118	- [ ] Arrange visualizations in a grid layout
119	- [ ] Group related metrics together
120	- [ ] Place summary/KPI panels at the top
121	- [ ] Place detailed breakdowns below
122	- [ ] Add markdown panels for section headers or notes
123
124	Dashboard saved object:
125	```json
126	{
127	"type": "dashboard",
128	"id": "[dashboard-id]",
129	"attributes": {
130	"title": "[Dashboard Title]",
131	"description": "[what this dashboard monitors]",
132	"panelsJSON": "[{\"gridData\":{\"x\":0,\"y\":0,\"w\":24,\"h\":15,\"i\":\"1\"},\"panelIndex\":\"1\",\"embeddableConfig\":{},\"panelRefName\":\"panel_0\"}]",
133	"optionsJSON": "{\"hidePanelTitles\":false,\"useMargins\":true}",
134	"timeRestore": true,
135	"timeTo": "now",
136	"timeFrom": "now-24h",
137	"refreshInterval": {
138	"pause": false,
139	"value": 30000
140	},
141	"kibanaSavedObjectMeta": {
142	"searchSourceJSON": "{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"
143	}
144	},
145	"references": [
146	{"name": "panel_0", "type": "visualization", "id": "[vis-id]"}
147	]
148	}
149	```
150
151	### Step 6: Generate NDJSON Export
152	- [ ] Combine all saved objects (index pattern + visualizations + dashboard)
153	- [ ] Output as NDJSON (one JSON object per line)
154	- [ ] Include references between objects
155
156	```
157	{"type":"index-pattern","id":"...","attributes":{...}}
158	{"type":"visualization","id":"...","attributes":{

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