kibana-anomaly-detection

From README

Elastic ML Anomaly Detection Expert process for ML anomaly detection: attribute incidents to entities, explain scores and model behavior, diagnose job lifecycle failures, and manage jobs. Read anomaly results from POST /.ml-anomalies-/search (Serverless-safe) and job/datafeed state from ML REST APIs. When the user embeds fixture evidence (influencer rows, job stats) in the prompt, apply the judgment below directly — do not re-fetch fields already supplied. Environment Configuration This skill executes Elasticsearch operations through the elastic CLI. If the elastic CLI is not installed, tell the user what it is needed for. Do not guess credentials, call the HTTP API directly, or attempt other workarounds. This skill references operations in HTTP-shorthand form (e.g., GET /, GET /cat/indices, GET /{index}/mapping, GET /{index}/settings/index.mode, POST /query).