elastic

Plugin elastic in elastic/claude-plugin. Commands read from the repo's manifest — today.

Skills (30)

• cloud-onboarding

  Onboard an Elastic Cloud organization: configure the `elastic` CLI's Cloud context and API key, establish a default region, then invite users, assign predefined or custom Serverless project roles, and create or revoke Cloud API keys. Use when setting up Cloud authentication or when granting, modifyi

• cloud-provisioning

  Provision and operate Elastic Cloud infrastructure: create, connect to, update, and delete Serverless projects (Elasticsearch, Observability, Security); manage traffic filters (IP and AWS PrivateLink network security); and manage the lifecycle of Elastic Cloud Hosted deployments. Use when creating o

• elasticsearch-anomaly-detection-explainer

  Explain Elasticsearch ML anomaly detection scores, model behavior, and result interpretation. Use when the user asks why a score is high or low, how the model learns, what the numbers mean, or how to troubleshoot unexpected anomaly scores. Requires Elasticsearch 8.x+ or Elastic Cloud Serverless with

• elasticsearch-anomaly-detection

  Create and manage Elastic ML anomaly detection jobs via the API. Use when setting up jobs on an index or data stream, configuring jobs and datafeeds, or opening, starting, or stopping them. Requires Elasticsearch 8.x+ or Elastic Cloud Serverless with ML anomaly detection. Uses the ML REST API only.

• elasticsearch-cluster-health

  Diagnose a non-green Elasticsearch cluster and surface the single most likely cause with remediation. Use when an operator reports yellow or red status, unassigned shards, allocation failures, or wants read-only triage before deeper investigation. Teaches replica-vs-primary impact, allocation decide

• elasticsearch-esql

  Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results. author: elastic version: 0.10.0 universal: true self-managed, Elastic Cloud Hosted, or Elastic

• elasticsearch-index-design

  Design and review Elasticsearch index mappings for stated access patterns: correct field types, text+keyword multi-fields, doc_values tuning, mapping-explosion avoidance, and explicit shard settings. Use when creating a new index, reviewing a mapping for storage or query performance, fixing wrong fi

• elasticsearch-ingest

  Load CSV, JSON, and NDJSON files into Elasticsearch indices using the bulk API and explicit mappings when field types matter. Use when batch-importing local files, converting CSV rows or JSON arrays to NDJSON bulk format, confirming cluster connectivity with elastic es info before ingest, or verifyi

• elasticsearch-onboarding

  Help developers new to Elasticsearch get from zero to a working search experience. Guide them through understanding their intent, mapping their data, and building a search experience with best practices baked in. Use this when the user shows intent to build search-related functionality, asks about E

• elasticsearch-query-optimization

  Diagnose slow Elasticsearch Query DSL searches and propose measured fixes. Use when a search is slow, profile output shows an expensive clause, exact-match filters sit in scoring context, or leading wildcards dominate latency. Ground every recommendation in search profiling — move non-scoring clause

• elasticsearch-reindex

  Guide Elasticsearch reindex for performance: local and remote, slicing, throttling, task API. Use when copying or migrating indices, changing mappings, or transforming during reindex. author: elastic version: 0.2.0 universal: true Cloud Serverless; local reindex works on all deployment types, while

• elasticsearch-search-relevance

  Improve Elasticsearch search relevance for content and catalog indices: pin or promote results with query rules (correct rule type, criteria, and rule-query wiring) and tune organic ranking with multi_match, field boosts, and analysis grounded in the index mapping. Use when search results rank poorl

• kibana-agent-builder

  Create and manage Kibana Agent Builder agents and custom tools. Use when asked to create, update, delete, test, or inspect agents or tools in Agent Builder, or when the user wants to understand what agents or tools already exist. author: elastic version: 0.3.0 universal: true

• kibana-alerting-rules

  Create and manage Kibana alerting rules. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze), choosing metric threshold rule types and params, or read-only find/list with tag filters. author: elastic version: 0.3.0 universal: true Cloud Hosted, or Elastic Cloud Se

• kibana-anomaly-detection

  Elastic ML anomaly detection — investigation/RCA, score explanation, job lifecycle troubleshooting, and job operations. Use when answering "what broke?"/"which entity?"/RCA, "why is score high/low?"/renormalization, "datafeed stopped"/"memory limit"/hard_limit, or configuring ML anomaly detection jo

• kibana-cases

  Manage investigation and incident cases across Elastic Security, Observability, and Stack Management — create, search, update, and enrich cases with comments, alerts, events, and observables (IOCs). Use when tracking incidents, correlating alerts to a case, adding investigation notes, updating statu

• kibana-context-engine

  Query Elastic Context Engine AI Indices, and the Knowledge Indicators (KIs) they store. Use when asked to search, explore, count, or answer questions from an AI Index / KI / Context Engine knowledge index, and when writing the ES|QL that queries one. author: elastic version: 0.2.1 universal: false p

• kibana-dashboards

  Create and manage Kibana Dashboards and Lens visualizations. Use when you need to define dashboards and visualizations declaratively, version control them, automate their deployment, or improve layout, sections, controls, or chart design. author: elastic version: 0.4.0 universal: true Elasticsearch,

• kibana-workflows

  Author, validate, test, run, and inspect Elastic Workflow YAML definitions. Use when the user wants to turn natural language into a Kibana workflow, fix workflow YAML, understand triggers or steps, or run a quick test loop against a real Kibana. author: elastic version: 0.5.0 universal: true or an E

• observability-csp-investigation

  Investigate cloud-provider (CSP) service issues — AWS today (the reasoning applies to any AWS service; schema and failure signatures are deepest for RDS, Lambda, SQS, ALB, EC2), and in future GCP and Azure — using OTel-schema cloud metrics in Elastic. Use when diagnosing cloud-resource problems, whe

• observability-k8s-investigation

  Investigate Kubernetes workload, node, and control-plane issues using OTel telemetry (EDOT). Use when diagnosing pod failures (CrashLoopBackOff, OOMKilled, Error), node pressure, resource exhaustion, image pull failures, admission rejections, autoscaling anomalies, or correlating K8s state with appl

• observability-llm-obs

  Answer questions about LLM and agentic-application behavior from data already ingested into Elastic: latency and error rate, token and cost utilization, response quality and guardrail events, and agentic call-chain orchestration. Use when the user asks about LLM monitoring, GenAI observability, toke

• observability-service-reliability

  Design and operate service reliability targets in Elastic Observability: choose an SLI type and a defensible target, pick a time window and budgeting method, create and maintain SLOs through the Kibana API, attach burn-rate alert rules, and decide when an SLO is the wrong instrument and a threshold

• observability-sre-triage

  Triage a degraded or suspect service end to end: read SLO status and burn rate, check active alerting rules and ML anomalies, measure throughput, latency, and error rate, assess dependency health and infrastructure saturation, and funnel logs down to the failures that explain it. Use when someone as

• security-alert-analysis

  Investigate a specific Elastic Security detection alert: gather context, assess entity risk, classify the threat, document findings, and optionally acknowledge. Use when triaging a single known alert, performing SOC investigation, or following up after the security-alert-triage skill identifies a gr

• security-alert-triage

  Prioritize and rank the Elastic Security alert queue by weighted risk — base risk score, MITRE tactic boost, entity risk, and asset criticality — then cluster alerts into entity groups. Use when an analyst asks what to focus on, which alerts are most urgent, or wants a ranked starting point across t

• security-case-management

  Create, search, update, and manage SOC cases via the Kibana Cases API. Use when tracking incidents, linking alerts to cases, adding investigation notes, or managing triage output. Requires Node.js 22+, network access to Kibana. Environment variables: KIBANA_URL, plus KIBANA_API_KEY or KIBANA_USERNAM

• security-detection-rule-management

  Create, tune, and manage Elastic Security detection rules (SIEM and Endpoint). Use for false positives, exceptions, new coverage, noisy rules, or rule management via Kibana API. Requires Node.js 22+, network access to Kibana and Elasticsearch. Environment variables: KIBANA_URL plus KIBANA_API_KEY or

• security-generate-security-sample-data

  Generate sample security events, attack scenarios, and synthetic alerts for Elastic Security. Use when demoing, populating dashboards, testing detection rules, or setting up a POC. Requires Node.js 22+, network access to Kibana and Elasticsearch. Environment variables: KIBANA_URL plus KIBANA_API_KEY

• security-ml-integrations

  Install and manage Elastic security ML integration packages (beaconing, ded, dga, lmd, pad, problemchild). Handles the full lifecycle: pre-flight checks, Fleet package install, component templates, ingest pipelines, transforms, data views, ML anomaly detection jobs, and detection rules. Use when a u

MCP servers (1)

• elastic-docs

  connects to: https://www.elastic.co/docs/_mcp/

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