kibana-alerting-rules

elastic/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/elastic/agent-skills --skill kibana-alerting-rules
0 commentsdiscussion
summary

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.
skill.md

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

  • all privileges for the appropriate Kibana feature (e.g., Stack Rules, Observability, Security)
  • read privileges 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:

  • params must be passed as a JSON-encoded string via jsonencode()
  • Use elasticstack_kibana_action_connector data source or resource to reference connector IDs in actions
  • Import existing rules: terraform import elasticstack_kibana_alerting_rule.my_rule <space_id>/<rule_id> (use default for 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 via GET /api/alerting/rule_types.
  • frequency.summarytrue for a digest of all alerts; false for per-alert.
  • frequency.notify_whenonActionGroupChange | onActiveAlert | onThrottleInterval.
  • frequency.throttle — minimum repeat interval (e.g., "10m"); only applies with onThrottleInterval.

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

  1. Set action frequency per action, not per rule. The notify_when field at the rule level is deprecated in favor of per-action frequency objects. 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.

  2. 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": true and set a throttle interval. This is especially valuable for rules that monitor many hosts or documents.

  3. Choose the right action frequency for each channel. Use onActionGroupChange for paging/ticketing systems (fire once, resolve once). Use onActiveAlert for audit logging to an Index connector. Use onThrottleInterval with a throttle like "30m" for dashboards or lower-priority notifications.

  4. Always add a recovery action. Rules without a recovery action leave

how to use kibana-alerting-rules

How to use kibana-alerting-rules on Cursor

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1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/elastic/agent-skills --skill kibana-alerting-rules

The skills CLI fetches kibana-alerting-rules from GitHub repository elastic/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/kibana-alerting-rules

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.

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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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.636 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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