🎯Skills9
An official VictoriaMetrics agent skill for querying metrics, logs, traces, and alerts, helping AI agents understand and operate the VictoriaMetrics observability ecosystem.
An agent skill for querying VictoriaLogs, enabling AI agents and automation tools to search and retrieve log data from the VictoriaMetrics log storage system.
A VictoriaMetrics skill for multi-signal observability investigations, enabling AI agents to query and troubleshoot metrics, logs, and traces across the VictoriaMetrics ecosystem with diagnostic capabilities like trace analysis and cardinality optimization.
Analyzes time series cardinality in VictoriaMetrics to find optimization opportunities, detecting unused metrics, high-cardinality labels, and histogram bloat for more efficient monitoring infrastructure.
Detects and analyzes unused metrics in VictoriaMetrics for cardinality optimization, part of a diagnostics skill set covering query traces, multi-signal investigations, and metric analysis.
Part of the VictoriaMetrics skills collection for querying and managing AlertManager, including listing active and silenced alerts, creating and managing silences, and checking alert inhibition state via curl-based API calls.
An agent skill for querying distributed traces in VictoriaMetrics, enabling service and operation discovery, trace search by duration and tags, trace retrieval by ID, and dependency mapping across the VictoriaMetrics observability ecosystem.
VictoriaMetrics diagnostics skill for analyzing query traces, performing multi-signal investigations across metrics/logs/traces, and optimizing cardinality and unused metrics detection.
A VictoriaMetrics diagnostics skill that helps design vmagent stream aggregation rules, including interval and output selection, YAML generation, rollout planning, and verification using vm_streamaggr_* metrics.