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Found 3 Skills
Expert evaluator for Prometheus label strategy. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, histogram bucket discipline, instrumentation hygiene, and source-side prevention via relabel_config / metric_relabel_configs. Use when the user asks to evaluate, audit, design, or improve Prometheus labels — or asks how to prevent high cardinality at the source. For post-ingest aggregation, see the adaptive-metrics skill. For "why is my Prometheus slow / expensive right now" triage, see prometheus-cardinality-troubleshooter.
Expert evaluator for Grafana Loki label strategy. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, and consistency checks. Use when the user asks to evaluate, audit, design, or improve a Loki label strategy — or asks why their Loki queries are slow.
Find unused and rarely-queried metrics in VictoriaMetrics using the metric_names_stats API, then suggest optimization actions (drop rules, relabel configs). Use this skill when the user wants to find unused metrics, identify wasted storage, optimize metric ingestion, reduce cardinality by dropping unneeded metrics, clean up scrape targets, or asks about which metrics are never queried. Also trigger when the user mentions "metric cleanup", "unused series", "what metrics can I drop", "metric optimization", "wasted ingestion", or wants to reduce VictoriaMetrics resource consumption by eliminating unnecessary metrics.