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moltler
moltler contient 13 skills collectées depuis bahaaldine, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Master index of all Moltler/elastic-script capabilities. Use first when uncertain which skill applies, when the user asks "what can you do", or to find the right skill for a task involving Elasticsearch, observability, security, ML, or integrations.
Manage Elasticsearch Streams for data routing, field extraction, and retention. Use when working with data streams, partitioning data into child streams, extracting fields from logs, configuring data lifecycle, or routing observability data.
Query metrics using PromQL syntax in ES|QL. Use when analyzing Prometheus-style metrics, calculating rates, histograms, quantiles, or when the user mentions PromQL, Prometheus, rate(), sum(), histogram_quantile(), or metric queries.
Manage alerts, notifications, SLOs, and incident response. Use when creating alert rules, viewing active alerts, sending Slack or PagerDuty notifications, managing SLOs, or automating incident response.
Analyze logs, metrics, traces, and APM data. Use when troubleshooting issues, finding errors, analyzing performance, investigating incidents, or checking error rates and latency.
Quick start guide for Elasticsearch capabilities. Use when the user is new, asks "what can you do with Elasticsearch", wants to see available functions, or needs help getting oriented with Moltler skills.
Integrate with external services including AWS, Kubernetes, CI/CD, Terraform, and webhooks. Use when triggering external actions, automating cross-system workflows, or syncing data with external services.
Monitor and manage cluster health, nodes, tasks, and settings. Use when checking cluster status, troubleshooting node issues, investigating shard allocation problems, or managing cluster settings.
Manage ILM policies, data streams, snapshots, and ingest pipelines. Use when configuring data retention, creating backups, restoring data, setting up data streams, or configuring data processing pipelines.
Perform document CRUD operations and index management. Use when indexing, retrieving, updating, or deleting documents, managing indices, or performing bulk operations and reindexing.
Manage users, roles, API keys, and investigate security events. Use when managing access control, creating or revoking API keys, checking permissions, or investigating failed logins and security incidents.
Execute searches, aggregations, and queries. Use when finding documents, running analytics, counting records, exploring data, or performing semantic search with vectors.
Use ML and AI capabilities including anomaly detection, trained models, embeddings, and LLM integration. Use when needing anomaly detection, text classification, NER, embeddings, semantic search, or AI-powered analysis.