greptimeteam
3 verified skills138 total stars
greptimedb-flow
Guide for creating GreptimeDB flow tasks — continuous aggregation that updates a sink table on the fly as data is ingested. Use when the user asks to build a materialized view, continuous aggregation, stream computation, downsampling job, or rollup. Triggers on phrases like "create flow", "continuous aggregation", "连续聚合", "物化视图", "materialized view", "downsampling", "流式聚合", "time window aggregation".
development46
greptimedb-pipeline
Guide for creating a GreptimeDB Pipeline — a processing layer between ingestion and storage that parses, transforms, indexes, and optionally routes log data. Use when the user asks to create a pipeline, parse logs, transform fields, write a pipeline YAML, dryrun a pipeline, or fan out logs to multiple tables. Triggers on phrases like "create pipeline", "解析日志", "log parsing", "transform fields", "GreptimeDB pipeline yaml", "dryrun pipeline", "dispatcher 分流", "VRL processor".
devops46
greptimedb-trigger
[Enterprise only] Guide for creating GreptimeDB Triggers — periodic evaluation rules (SQL or TQL/PromQL via TQL EVAL) that fire Alertmanager-compatible webhooks when conditions are met. Use as an alternative to Prometheus alerting rules, or to host existing PromQL alerts on GreptimeDB. Triggers on phrases like "create trigger", "alerting rule", "告警规则", "trigger webhook", "alertmanager 对接", "migrate prometheus alerts", "promql alert".
development46