kibana-alerting-rules▌
elastic/agent-skills · updated Apr 8, 2026
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A rule has three parts: conditions (what to detect), schedule (how often to check), and actions (what
- ›happens when conditions are met). When conditions are met, the rule creates alerts, which trigger actions via
- ›connectors.
Kibana Alerting Rules
Core Concepts
A rule has three parts: conditions (what to detect), schedule (how often to check), and actions (what happens when conditions are met). When conditions are met, the rule creates alerts, which trigger actions via connectors.
Authentication
All alerting API calls require either API key auth or Basic auth. Every mutating request must include the kbn-xsrf
header.
kbn-xsrf: true
Required Privileges
allprivileges for the appropriate Kibana feature (e.g., Stack Rules, Observability, Security)readprivileges for Actions and Connectors (to attach actions to rules)
API Reference
Base path: <kibana_url>/api/alerting (or /s/<space_id>/api/alerting for non-default spaces).
| Operation | Method | Endpoint |
|---|---|---|
| Create rule | POST | /api/alerting/rule/{id} |
| Update rule | PUT | /api/alerting/rule/{id} |
| Get rule | GET | /api/alerting/rule/{id} |
| Delete rule | DELETE | /api/alerting/rule/{id} |
| Find rules | GET | /api/alerting/rules/_find |
| List rule types | GET | /api/alerting/rule_types |
| Enable rule | POST | /api/alerting/rule/{id}/_enable |
| Disable rule | POST | /api/alerting/rule/{id}/_disable |
| Mute all alerts | POST | /api/alerting/rule/{id}/_mute_all |
| Unmute all alerts | POST | /api/alerting/rule/{id}/_unmute_all |
| Mute alert | POST | /api/alerting/rule/{rule_id}/alert/{alert_id}/_mute |
| Unmute alert | POST | /api/alerting/rule/{rule_id}/alert/{alert_id}/_unmute |
| Update API key | POST | /api/alerting/rule/{id}/_update_api_key |
| Create snooze | POST | /api/alerting/rule/{id}/snooze_schedule |
| Delete snooze | DELETE | /api/alerting/rule/{ruleId}/snooze_schedule/{scheduleId} |
| Health check | GET | /api/alerting/_health |
Creating a Rule
Required Fields
| Field | Type | Description |
|---|---|---|
name |
string | Display name (does not need to be unique) |
rule_type_id |
string | The rule type (e.g., .es-query, .index-threshold) |
consumer |
string | Owning app: alerts, apm, discover, infrastructure, logs, metrics, ml, monitoring, securitySolution, siem, stackAlerts, uptime |
params |
object | Rule-type-specific parameters |
schedule |
object | Check interval, e.g., {"interval": "5m"} |
Optional Fields
| Field | Type | Description |
|---|---|---|
actions |
array | Actions to run when conditions are met (each references a connector) |
tags |
array | Tags for organizing rules |
enabled |
boolean | Whether the rule runs immediately (default: true) |
notify_when |
string | onActionGroupChange, onActiveAlert, or onThrottleInterval (prefer setting per-action instead) |
alert_delay |
object | Alert only after N consecutive matches, e.g., {"active": 3} |
flapping |
object/null | Override flapping detection settings |
Example: Create an Elasticsearch Query Rule
curl -X POST "https://my-kibana:5601/api/alerting/rule/my-rule-id" \
-H "kbn-xsrf: true" \
-H "Content-Type: application/json" \
-H "Authorization: ApiKey <your-api-key>" \
-d '{
"name": "High error rate",
"rule_type_id": ".es-query",
"consumer": "stackAlerts",
"schedule": { "interval": "5m" },
"params": {
"index": ["logs-*"],
"timeField": "@timestamp",
"esQuery": "{\"query\":{\"match\":{\"log.level\":\"error\"}}}",
"threshold": [100],
"thresholdComparator": ">",
"timeWindowSize": 5,
"timeWindowUnit": "m",
"size": 100
},
"actions": [
{
"id": "my-slack-connector-id",
"group": "query matched",
"params": {
"message": "Alert: {{rule.name}} - {{context.hits}} hits detected"
},
"frequency": {
"summary": false,
"notify_when": "onActionGroupChange"
}
}
],
"tags": ["production", "errors"]
}'
The same structure applies to other rule types — set the appropriate rule_type_id (e.g., .index-threshold,
.es-query) and provide the matching params object. Use GET /api/alerting/rule_types to discover params schemas.
Updating a Rule
PUT /api/alerting/rule/{id} — send the complete rule body. rule_type_id and consumer are immutable after creation.
Returns 409 Conflict if another user updated the rule concurrently; re-fetch and retry.
Finding Rules
curl -X GET "https://my-kibana:5601/api/alerting/rules/_find?per_page=20&page=1&search=cpu&sort_field=name&sort_order=asc" \
-H "Authorization: ApiKey <your-api-key>"
Query parameters: per_page, page, search, default_search_operator, search_fields, sort_field, sort_order,
has_reference, fields, filter, filter_consumers.
Use the filter parameter with KQL syntax for advanced queries:
filter=alert.attributes.tags:"production"
Lifecycle Operations
# Enable
curl -X POST ".../api/alerting/rule/{id}/_enable" -H "kbn-xsrf: true"
# Disable
curl -X POST ".../api/alerting/rule/{id}/_disable" -H "kbn-xsrf: true"
# Mute all alerts
curl -X POST ".../api/alerting/rule/{id}/_mute_all" -H "kbn-xsrf: true"
# Mute specific alert
curl -X POST ".../api/alerting/rule/{rule_id}/alert/{alert_id}/_mute" -H "kbn-xsrf: true"
# Delete
curl -X DELETE ".../api/alerting/rule/{id}" -H "kbn-xsrf: true"
Terraform Provider
Use the elasticstack provider resource elasticstack_kibana_alerting_rule.
terraform {
required_providers {
elasticstack = {
source = "elastic/elasticstack"
}
}
}
provider "elasticstack" {
kibana {
endpoints = ["https://my-kibana:5601"]
api_key = var.kibana_api_key
}
}
resource "elasticstack_kibana_alerting_rule" "cpu_alert" {
name = "CPU usage critical"
consumer = "stackAlerts"
rule_type_id = ".index-threshold"
interval = "1m"
enabled = true
params = jsonencode({
index = ["metrics-*"]
timeField = "@timestamp"
aggType = "avg"
aggField = "system.cpu.total.pct"
groupBy = "top"
termField = "host.name"
termSize = 10
threshold = [0.9]
thresholdComparator = ">"
timeWindowSize = 5
timeWindowUnit = "m"
})
tags = ["infrastructure", "production"]
}
Key Terraform notes:
paramsmust be passed as a JSON-encoded string viajsonencode()- Use
elasticstack_kibana_action_connectordata source or resource to reference connector IDs in actions - Import existing rules:
terraform import elasticstack_kibana_alerting_rule.my_rule <space_id>/<rule_id>(usedefaultfor the default space)
Triggering Kibana Workflows from Rules
Preview feature — available from Elastic Stack 9.3 and Elastic Cloud Serverless. APIs may change.
Attach a workflow as a rule action using the workflow ID as the connector ID. Set params: {} — alert context flows
automatically through the event object inside the workflow.
curl -X PUT "https://my-kibana:5601/api/alerting/rule/my-rule-id" \
-H "kbn-xsrf: true" \
-H "Content-Type: application/json" \
-H "Authorization: ApiKey <your-api-key>" \
-d '{
"name": "High error rate",
"schedule": { "interval": "5m" },
"params": { ... },
"actions": [
{
"id": "<workflow-id>",
"group": "query matched",
"params": {},
"frequency": { "summary": false, "notify_when": "onActionGroupChange" }
}
]
}'
In the UI: Stack Management > Rules > Actions > Workflows. Only enabled: true workflows appear in the picker.
For workflow YAML structure, {{ event }} context fields, step types, and patterns, refer to the kibana-connectors
skill if available.
Connectors and Actions in Rules
Each action references a connector by ID, an action group, action params (using Mustache templates), and a
per-action frequency object. Key fields:
group— which trigger state fires this action (e.g.,"query matched","Recovered"). Discover valid groups viaGET /api/alerting/rule_types.frequency.summary—truefor a digest of all alerts;falsefor per-alert.frequency.notify_when—onActionGroupChange|onActiveAlert|onThrottleInterval.frequency.throttle— minimum repeat interval (e.g.,"10m"); only applies withonThrottleInterval.
For full reference on action structure, Mustache variables ({{rule.name}}, {{context.*}}, {{alerts.new.count}}),
Mustache lambdas (EvalMath, FormatDate, ParseHjson), recovery actions, and multi-channel patterns, refer to the
kibana-connectors skill if available.
Best Practices
-
Set action frequency per action, not per rule. The
notify_whenfield at the rule level is deprecated in favor of per-actionfrequencyobjects. If you set it at the rule level and later edit the rule in the Kibana UI, it is automatically converted to action-level values. -
Use alert summaries to reduce notification noise. Instead of sending one notification per alert, configure actions to send periodic summaries at a custom interval. Use
"summary": trueand set athrottleinterval. This is especially valuable for rules that monitor many hosts or documents. -
Choose the right action frequency for each channel. Use
onActionGroupChangefor paging/ticketing systems (fire once, resolve once). UseonActiveAlertfor audit logging to an Index connector. UseonThrottleIntervalwith a throttle like"30m"for dashboards or lower-priority notifications. -
Always add a recovery action. Rules without a recovery action leave
How to use kibana-alerting-rules on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add kibana-alerting-rules
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches kibana-alerting-rules from GitHub repository elastic/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate kibana-alerting-rules. Access the skill through slash commands (e.g., /kibana-alerting-rules) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★36 reviews- ★★★★★Sophia Reddy· Dec 20, 2024
I recommend kibana-alerting-rules for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Pratham Ware· Dec 12, 2024
kibana-alerting-rules reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Aisha Menon· Dec 12, 2024
Solid pick for teams standardizing on skills: kibana-alerting-rules is focused, and the summary matches what you get after install.
- ★★★★★William Anderson· Dec 8, 2024
Keeps context tight: kibana-alerting-rules is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Anika Sethi· Dec 4, 2024
Registry listing for kibana-alerting-rules matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Anika Sharma· Nov 23, 2024
Useful defaults in kibana-alerting-rules — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dev Jackson· Nov 11, 2024
kibana-alerting-rules reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakshi Patil· Nov 3, 2024
I recommend kibana-alerting-rules for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Arya Nasser· Nov 3, 2024
We added kibana-alerting-rules from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chaitanya Patil· Oct 22, 2024
Useful defaults in kibana-alerting-rules — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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