Design VictoriaMetrics stream aggregation rules to reduce cardinality, sample frequency, or query load. Use whenever the user wants to apply, plan, or troubleshoot stream aggregation (-streamAggr.config, -remoteWrite.streamAggr.config), asks how to aggregate a high-cardinality metric, mentions downsampling at vmagent, replacing recording rules with stream aggregation, picking the right aggregation output (total, ratesum, sumsamples, quantiles, histogrambucket, etc.), choosing an aggregation interval, deciding where to place vmagent in the delivery pipeline, or whether to scale vmagent for aggregation. Also triggers on "aggregate histograms", "drop labels via vmagent", "reduce ingested samples", "pre-aggregate at vmagent", "stream aggregation accuracy", and "stream aggregation duplicates in cluster".
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
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About this skill
Design VictoriaMetrics stream aggregation rules to reduce cardinality, sample frequency, or query load. Use whenever the user wants to apply, plan, or troubleshoot stream aggregation (-streamAggr.config, -remoteWrite.streamAggr.config), asks how to aggregate a high-cardinality metric, mentions downsampling at vmagent, replacing recording rules with stream aggregation, picking the right aggregation output (total, ratesum, sumsamples, quantiles, histogrambucket, etc.), choosing an aggregation interval, deciding where to place vmagent in the delivery pipeline, or whether to scale vmagent for aggregation. Also triggers on "aggregate histograms", "drop labels via vmagent", "reduce ingested samples", "pre-aggregate at vmagent", "stream aggregation accuracy", and "stream aggregation duplicates in cluster".
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Design VictoriaMetrics stream aggregation rules to reduce cardinality, sample frequency, or query load. Use whenever the user wants to apply, plan, or troubleshoot stream aggregation (`-streamAggr.config`, `-remoteWrite.streamAggr.config`), asks how to aggregate a high-cardinality metric, mentions downsampling at vmagent, replacing recording rules with stream aggregation, picking the right aggregation output (`total`, `rate_sum`, `sum_samples`, `quantiles`, `histogram_bucket`, etc.), choosing an aggregation interval, deciding where to place vmagent in the delivery pipeline, or whether to scale vmagent for aggregation. Also triggers on "aggregate histograms", "drop labels via vmagent", "reduce ingested samples", "pre-aggregate at vmagent", "stream aggregation accuracy", and "stream aggregation duplicates in cluster".
About this listing
Category
General
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.