Connectors store connection information for Elastic services and third-party systems. Alerting rules use connectors to
Works with
route actions (notifications) when rule conditions are met. Connectors are managed per Kibana Space and can be
shared across all rules within that space.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionkibana-connectorsExecute the skills CLI command in your project's root directory to begin installation:
Fetches kibana-connectors from elastic/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate kibana-connectors. Access via /kibana-connectors in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Connectors store connection information for Elastic services and third-party systems. Alerting rules use connectors to route actions (notifications) when rule conditions are met. Connectors are managed per Kibana Space and can be shared across all rules within that space.
| Category | Connector Types |
|---|---|
| LLM Providers | OpenAI, Google Gemini, Amazon Bedrock, Elastic Managed LLMs, AI Connector, MCP (Preview, 9.3+) |
| Incident Management | PagerDuty, Opsgenie, ServiceNow (ITSM, SecOps, ITOM), Jira, Jira Service Management (9.2+), IBM Resilient, Swimlane, Torq, Tines, D3 Security, XSOAR (9.1+), TheHive |
| Endpoint Security | CrowdStrike, SentinelOne, Microsoft Defender for Endpoint |
| Messaging | Slack (API / Webhook), Microsoft Teams, Email |
| Logging & Observability | Server log, Index, Observability AI Assistant |
| Webhook | Webhook, Webhook - Case Management, xMatters |
| Elastic | Cases |
All connector API calls require API key auth or Basic auth. Every mutating request must include the kbn-xsrf header.
kbn-xsrf: true
Access to connectors is granted based on your privileges to alerting-enabled features. You need all privileges for
Actions and Connectors in Stack Management.
Base path: <kibana_url>/api/actions (or /s/<space_id>/api/actions for non-default spaces).
| Operation | Method | Endpoint |
|---|---|---|
| Create connector | POST | /api/actions/connector/{id} |
| Update connector | PUT | /api/actions/connector/{id} |
| Get connector | GET | /api/actions/connector/{id} |
| Delete connector | DELETE | /api/actions/connector/{id} |
| Get all connectors | GET | /api/actions/connectors |
| Get connector types | GET | /api/actions/connector_types |
| Run connector | POST | /api/actions/connector/{id}/_execute |
| Field | Type | Description |
|---|---|---|
name |
string | Display name for the connector |
connector_type_id |
string | The connector type (e.g., .slack, .email, .webhook, .pagerduty, .jira) |
config |
object | Type-specific configuration (non-secret settings) |
secrets |
object | Type-specific secrets (API keys, passwords, tokens) |
curl -X POST "https://my-kibana:5601/api/actions/connector/my-slack-connector" \
-H "kbn-xsrf: true" \
-H "Content-Type: application/json" \
-H "Authorization: ApiKey <your-api-key>" \
-d '{
"name": "Production Slack Alerts",
"connector_type_id": ".slack",
"config": {},
"secrets": {
"webhookUrl": "https://hooks.slack.com/services/T00/B00/XXXX"
}
}'
All connector types share the same request structure — only connector_type_id, config, and secrets differ. See the
Common Connector Type IDs table for available types and their required fields.
curl -X POST "https://my-kibana:5601/api/actions/connector/my-pagerduty" \
-H "kbn-xsrf: true" \
-H "Content-Type: application/json" \
-H "Authorization: ApiKey <your-api-key>" \
-d '{
"name": "PagerDuty Incidents",
"connector_type_id": ".pagerduty",
"config": {
"apiUrl": "https://events.pagerduty.com/v2/enqueue"
},
"secrets": {
"routingKey": "your-pagerduty-integration-key"
}
}'
PUT /api/actions/connector/{id} replaces the full configuration. connector_type_id is immutable — delete and
recreate to change it.
# Get all connectors in the current space
curl -X GET "https://my-kibana:5601/api/actions/connectors" \
-H "Authorization: ApiKey <your-api-key>"
# Get available connector types
curl -X GET "https://my-kibana:5601/api/actions/connector_types" \
-H "Authorization: ApiKey <your-api-key>"
# Filter connector types by feature (e.g., only those supporting alerting)
curl -X GET "https://my-kibana:5601/api/actions/connector_types?feature_id=alerting" \
-H "Authorization: ApiKey <your-api-key>"
The GET /api/actions/connectors response includes referenced_by_count showing how many rules use each connector.
Always check this before deleting.
Execute a connector action directly, useful for testing connectivity.
curl -X POST "https://my-kibana:5601/api/actions/connector/my-slack-connector/_execute" \
-H "kbn-xsrf: true" \
-H "Content-Type: application/json" \
-H "Authorization: ApiKey <your-api-key>" \
-d '{
"params": {
"message": "Test alert from API"
}
}'
curl -X DELETE "https://my-kibana:5601/api/actions/connector/my-slack-connector" \
-H "kbn-xsrf: true" \
-H "Authorization: ApiKey <your-api-key>"
Warning: Deleting a connector that is referenced by rules will cause those rule actions to fail silently. Check
referenced_by_count first.
Use the elasticstack provider resource elasticstack_kibana_action_connector.
terraform {
required_providers {
elasticstack = {
source = "elastic/elasticstack"
}
}
}
provider "elasticstack" {
kibana {
endpoints = ["https://my-kibana:5601"]
api_key = var.kibana_api_key
}
}
resource "elasticstack_kibana_action_connector" "slack" {
name = "Production Slack Alerts"
connector_type_id = ".slack"
config = jsonencode({})
secrets = jsonencode({
webhookUrl = "https://hooks.slack.com/services/T00/B00/XXXX"
})
}
resource "elasticstack_kibana_action_connector" "index" {
name = "Alert Index Writer"
connector_type_id = ".index"
config = jsonencode({
index = "alert-history"
executionTimeField = "@timestamp"
})
secrets = jsonencode({})
}
Key Terraform notes:
config and secrets must be JSON-encoded strings via jsonencode()terraform import elasticstack_kibana_action_connector.my_connector <space_id>/<connector_id> (use default for the
default space)For self-managed Kibana, connectors can be preconfigured in kibana.yml so they are available at startup without manual
creation:
xpack.actions.preconfigured:
my-slack-connector:
name: "Production Slack"
actionTypeId: .slack
secrets:
webhookUrl: "https://hooks.slack.com/services/T00/B00/XXXX"
my-webhook:
name: "Custom Webhook"
actionTypeId: .webhook
config:
url: "https://api.example.com/alerts"
method: post
hasAuth: true
secrets:
user: "alert-user"
password: "secret-password"
Preconfigured connectors cannot be edited or deleted via the API or UI. They show is_preconfigured: true and omit
config and is_missing_secrets from API responses.
Customize connector networking (proxies, TLS, certificates) via kibana.yml:
# Global proxy for all connectors
xpack.actions.proxyUrl: "https://proxy.example.com:8443"
# Per-host TLS settings
xpack.actions.customHostSettings:
- url: "https://api.example.com"
ssl:
verificationMode: full
certificateAuthoritiesFiles: ["/path/to/ca.pem"]
Connectors serve as the integration layer across multiple Kibana workflows, not just alerting notifications:
| Workflow | Connector Types | Key Pattern |
|---|---|---|
| ITSM ticketing | ServiceNow, Jira, IBM Resilient | Create ticket on active, close on Recovered |
| On-call escalation | PagerDuty, Opsgenie | trigger on active, resolve on Recovered; always set a deduplication key |
| Case management | Cases (system action) | UI-only; groups alerts into investigation Cases; can auto-push to ITSM |
| Messaging / awareness | Slack, Teams, Email | onActionGroupChange for incident channels; summaries for monitoring channels |
| Audit logging | Index | onActiveAlert to write full alert time-series to Elasticsearch |
| AI workflows | OpenAI, Bedrock, Gemini, AI Connector | Powers Elastic AI Assistant and Attack Discovery; system-managed |
| Custom integrations | Webhook | Generic HTTP outbound with Mustache-templated JSON body |
For detailed patterns, examples, and decision guidance for each workflow, see workflows.md.
Use preconfigured connectors for production on-prem. They eliminate secret sprawl, survive Saved Object import
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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parcadei/continuous-claude-v3
cursor/plugins
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mattpocock/skills
kibana-connectors is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: kibana-connectors is focused, and the summary matches what you get after install.
Keeps context tight: kibana-connectors is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for kibana-connectors matched our evaluation — installs cleanly and behaves as described in the markdown.
kibana-connectors reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added kibana-connectors from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
kibana-connectors reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for kibana-connectors matched our evaluation — installs cleanly and behaves as described in the markdown.
kibana-connectors fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in kibana-connectors — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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