agent-skills

In the author's own words, from each skill's SKILL.md — showing the first 26 of 52 files.

• 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, modifying, or auditing user access to an organization and its projects.

  skills/cloud/onboarding/SKILL.md on GitHub (opens in a new tab)

• 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 or performing day-2 operations on serverless projects or hosted deployments, or restricting their ne…

  skills/cloud/provisioning/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/elasticsearch/elasticsearch-anomaly-detection-explainer/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/elasticsearch/elasticsearch-anomaly-detection/SKILL.md on GitHub (opens in a new tab)

• 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 decider classification, and data-loss awareness.

  skills/elasticsearch/elasticsearch-cluster-health/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/elasticsearch/elasticsearch-esql/SKILL.md on GitHub (opens in a new tab)

• 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 field types, or when the user asks which type to use for search, filter, sort, or aggregation on a fi…

  skills/elasticsearch/elasticsearch-index-design/SKILL.md on GitHub (opens in a new tab)

• elasticsearch-ingest

  Load CSV and JSON 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, or verifying document counts and mappings after ingest — not for Logstash pipelines, Beats, custom scripts, or index-to-index reindex.

  skills/elasticsearch/elasticsearch-ingest/SKILL.md on GitHub (opens in a new tab)

• 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 Elasticsearch-related concepts for their use case, or expresses the need for help getting started wi…

  skills/elasticsearch/elasticsearch-onboarding/SKILL.md on GitHub (opens in a new tab)

• 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 clauses to filter context, eliminate leading wildcards, and re-profile to confirm improvement.

  skills/elasticsearch/elasticsearch-query-optimization/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/elasticsearch/elasticsearch-reindex/SKILL.md on GitHub (opens in a new tab)

• 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 poorly, a specific document must appear first for a query, or the user asks to tune full-text matching —…

  skills/elasticsearch/elasticsearch-search-relevance/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/kibana/kibana-agent-builder/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/kibana/kibana-alerting-rules/SKILL.md on GitHub (opens in a new tab)

• 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 jobs. Reads results from `.ml-anomalies-*` and job state from ML REST APIs.

  skills/kibana/kibana-anomaly-detection/SKILL.md on GitHub (opens in a new tab)

• kibana-dashboards

  Create and manage Kibana Dashboards and Lens visualizations. Use when you need to define dashboards and visualizations declaratively, version control them, or automate their deployment.

  skills/kibana/kibana-dashboards/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/kibana/kibana-workflows/SKILL.md on GitHub (opens in a new tab)

• 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 application signals. OTel ingest path only — the legacy ECS Kubernetes integration shape is out of scop…

  skills/observability/k8s-investigation/SKILL.md on GitHub (opens in a new tab)

• 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, token spend or AI cost, model latency, prompt or guardrail failures, or how an agent's tool-call chain…

  skills/observability/llm-obs/SKILL.md on GitHub (opens in a new tab)

• observability-onboarding

  Onboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the required OTLP configuration, and then verify with ES|QL that traces, metrics, and logs actually arrive under the expected service name. Use when adding observability to a service, migrating off the classic…

  skills/observability/onboarding/SKILL.md on GitHub (opens in a new tab)

• 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 rule, anomaly job, or synthetics monitor is right. Use when defining or reviewing SLOs and error bu…

  skills/observability/service-reliability/SKILL.md on GitHub (opens in a new tab)

• 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 asks whether a service is healthy, why it is slow or erroring, what is in its logs, or which attribut…

  skills/observability/sre-triage/SKILL.md on GitHub (opens in a new tab)

• security-alert-triage

  Triage Elastic Security alerts — gather context, classify threats, create cases, and acknowledge. Use when triaging alerts, performing SOC analysis, or investigating detections.

  skills/security/alert-triage/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/security/case-management/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/security/detection-rule-management/SKILL.md on GitHub (opens in a new tab)

• 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.

  skills/security/generate-security-sample-data/SKILL.md on GitHub (opens in a new tab)

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